├── .gitignore ├── .gitmodules ├── README.md ├── data ├── RAP_annotation │ └── .gitsave ├── RAP_dataset │ └── .gitsave ├── RAP_dataset_hs │ └── .gitsave ├── RAP_dataset_lb │ └── .gitsave ├── RAP_dataset_ub │ └── .gitsave └── rap2_part_extraction.m ├── features ├── CNN-v1.0-Descriptor │ ├── imagenet_feature_extraction_caffenet_parts.m │ ├── imagenet_feature_extraction_caffenet_single.m │ ├── imagenet_feature_extraction_googlelenet_single.m │ ├── imagenet_feature_extraction_resnet_parts.m │ ├── imagenet_feature_extraction_resnet_single.m │ ├── jstl_feature_extraction_single.m │ ├── models │ │ ├── CaffeNet │ │ │ ├── .gitsave │ │ │ ├── deploy_fc6.prototxt │ │ │ └── deploy_fc7.prototxt │ │ ├── GoogleLeNet │ │ │ ├── .gitsave │ │ │ └── deploy_pool5.prototxt │ │ ├── JSTL-DGD │ │ │ ├── .gitsave │ │ │ └── jstl_dgd_deploy_inference.prototxt │ │ └── ResNet │ │ │ ├── .gitsave │ │ │ └── deploy_pool5.prototxt │ └── transform_mean_to_triplet.py ├── Features_ELF_LOMO_GOG_v1.0 │ ├── Feature_Extraction_elf.m │ ├── Feature_Extraction_gog.m │ ├── Feature_Extraction_lomo.m │ ├── Feature_PCA_elf.m │ └── Features │ │ └── .gitsave ├── LOMO_XQDA │ ├── LICENSE │ ├── Liao-CVPR15-LOMO-XQDA.pdf │ ├── README.txt │ ├── bin │ │ ├── Retinex.mexa64 │ │ ├── Retinex.mexglx │ │ ├── Retinex.mexw32 │ │ └── Retinex.mexw64 │ ├── code │ │ ├── Demo_LOMO.m │ │ ├── Demo_XQDA.m │ │ ├── EvalCMC.m │ │ ├── LOMO.m │ │ ├── MahDist.m │ │ ├── SILTP.m │ │ └── XQDA.m │ ├── images │ │ ├── 000_45_a.bmp │ │ └── 000_45_b.bmp │ └── results │ │ ├── cuhk01_lomo_xqda.mat │ │ ├── cuhk03_detected_lomo_xqda.mat │ │ ├── cuhk03_labeled_lomo_xqda.mat │ │ ├── qmul_grid_lomo_xqda.mat │ │ ├── qmul_grid_lomo_xqda_camera-network.mat │ │ └── viper_lomo_xqda.mat └── ReID_GOG_v1.01 │ ├── CMCs │ ├── CUHK01_M1_GOG_Fusion_XQDA.mat │ ├── CUHK01_M1_GOG_RGB_XQDA.mat │ ├── CUHK01_M2_GOG_Fusion_XQDA.mat │ ├── CUHK01_M2_GOG_RGB_XQDA.mat │ ├── CUHK03_detected_GOG_Fusion_XQDA.mat │ ├── CUHK03_labeled_GOG_Fusion_XQDA.mat │ ├── GRID_GOG_Fusion_XQDA.mat │ ├── GRID_GOG_RGB_XQDA.mat │ ├── PRID450S_GOG_Fusion_XQDA.mat │ ├── PRID450S_GOG_RGB_XQDA.mat │ ├── VIPeR_GOG_Fusion_XQDA.mat │ └── VIPeR_GOG_RGB_XQDA.mat │ ├── COPYRIGHT │ ├── DB │ ├── CUHK01M1.mat │ ├── CUHK01M2.mat │ ├── CUHK03detected.mat │ ├── CUHK03labeled.mat │ ├── GRID.mat │ ├── PRID450s.mat │ └── VIPeR.mat │ ├── DataManage │ ├── conc_feature_cell.m │ ├── extract_feature_cell_from_all.m │ └── load_features_all.m │ ├── GOG │ ├── GOG.m │ ├── get_gradmap.m │ ├── get_pixelfeatures.m │ ├── mex │ │ ├── compile.m │ │ ├── create_IH_MT.cpp │ │ ├── create_IH_MT.mexw64 │ │ ├── create_corr_MT.cpp │ │ ├── create_corr_MT.mexw64 │ │ ├── halfvec.cpp │ │ ├── halfvec.mexw64 │ │ ├── vec2mat.cpp │ │ └── vec2mat.mexw64 │ ├── set_default_parameter.m │ └── set_pixelfeatures.m │ ├── README.txt │ ├── apply_normalization.m │ ├── config.m │ ├── convert_cuhk03.m │ ├── demo_GOG.m │ ├── eval_XQDA.m │ ├── extract_features.m │ └── set_database.m ├── person-attribute ├── baseline-acn │ ├── compute_accuracy_fc8.py │ ├── compute_average_results_fc8.py │ ├── lmdb │ │ └── .gitsave │ ├── logs │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── prototxts │ │ └── CaffeNet │ │ │ ├── rap2_solver_train_1.prototxt │ │ │ ├── rap2_solver_train_2.prototxt │ │ │ ├── rap2_solver_train_3.prototxt │ │ │ ├── rap2_solver_train_4.prototxt │ │ │ ├── rap2_solver_train_5.prototxt │ │ │ ├── rap2_solver_trainval_1.prototxt │ │ │ ├── rap2_solver_trainval_2.prototxt │ │ │ ├── rap2_solver_trainval_3.prototxt │ │ │ ├── rap2_solver_trainval_4.prototxt │ │ │ ├── rap2_solver_trainval_5.prototxt │ │ │ ├── rap2_test_1.prototxt │ │ │ ├── rap2_test_2.prototxt │ │ │ ├── rap2_test_3.prototxt │ │ │ ├── rap2_test_4.prototxt │ │ │ ├── rap2_test_5.prototxt │ │ │ ├── rap2_train_1.prototxt │ │ │ ├── rap2_train_2.prototxt │ │ │ ├── rap2_train_3.prototxt │ │ │ ├── rap2_train_4.prototxt │ │ │ ├── rap2_train_5.prototxt │ │ │ ├── rap2_trainval_1.prototxt │ │ │ ├── rap2_trainval_2.prototxt │ │ │ ├── rap2_trainval_3.prototxt │ │ │ ├── rap2_trainval_4.prototxt │ │ │ ├── rap2_trainval_5.prototxt │ │ │ ├── rap2_val_1.prototxt │ │ │ ├── rap2_val_2.prototxt │ │ │ ├── rap2_val_3.prototxt │ │ │ ├── rap2_val_4.prototxt │ │ │ └── rap2_val_5.prototxt │ ├── results │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── temp_models │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── test_caffenet.sh │ ├── test_caffenet_all.sh │ └── train_caffenet.sh ├── baseline-deepmar-binary │ ├── compute_accuracy_fc8.py │ ├── compute_average_results_fc8.py │ ├── lmdb │ │ └── .gitsave │ ├── logs │ │ ├── ACN │ │ │ └── .gitsave │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── network_acn_v1.py │ ├── network_caffenet_v1.py │ ├── prototxts │ │ ├── ACN │ │ │ └── .gitsave │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── results │ │ ├── ACN │ │ │ └── .gitsave │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── temp_models │ │ ├── ACN │ │ │ └── .gitsave │ │ └── CaffeNet │ │ │ └── .gitsave │ ├── test_acn_all.sh │ ├── test_caffenet.sh │ ├── test_caffenet_all.sh │ ├── train_acn_all.sh │ ├── train_acn_all_all.sh │ ├── train_acn_all_sub.sh │ ├── train_caffenet.sh │ ├── train_caffenet_all.sh │ ├── train_caffenet_all_all.sh │ └── train_caffenet_all_sub.sh ├── baseline-deepmar-parts │ ├── compute_accuracy_fc8.py │ ├── compute_average_results_fc8.py │ ├── lmdb │ │ └── .gitsave │ ├── logs │ │ ├── CaffeNet │ │ │ └── .gitsave │ │ └── ResNet50 │ │ │ └── .gitsave │ ├── prototxts │ │ ├── CaffeNet │ │ │ ├── .gitsave │ │ │ ├── rap2_solver_train_1.prototxt │ │ │ ├── rap2_solver_train_2.prototxt │ │ │ ├── rap2_solver_train_3.prototxt │ │ │ ├── rap2_solver_train_4.prototxt │ │ │ ├── rap2_solver_train_5.prototxt │ │ │ ├── rap2_solver_trainval_1.prototxt │ │ │ ├── rap2_solver_trainval_2.prototxt │ │ │ ├── rap2_solver_trainval_3.prototxt │ │ │ ├── rap2_solver_trainval_4.prototxt │ │ │ ├── rap2_solver_trainval_5.prototxt │ │ │ ├── rap2_test_1.prototxt │ │ │ ├── rap2_test_2.prototxt │ │ │ ├── rap2_test_3.prototxt │ │ │ ├── rap2_test_4.prototxt │ │ │ ├── rap2_test_5.prototxt │ │ │ ├── rap2_train_1.prototxt │ │ │ ├── rap2_train_2.prototxt │ │ │ ├── rap2_train_3.prototxt │ │ │ ├── rap2_train_4.prototxt │ │ │ ├── rap2_train_5.prototxt │ │ │ ├── rap2_trainval_1.prototxt │ │ │ ├── rap2_trainval_2.prototxt │ │ │ ├── rap2_trainval_3.prototxt │ │ │ ├── rap2_trainval_4.prototxt │ │ │ ├── rap2_trainval_5.prototxt │ │ │ ├── rap2_val_1.prototxt │ │ │ ├── rap2_val_2.prototxt │ │ │ ├── rap2_val_3.prototxt │ │ │ ├── rap2_val_4.prototxt │ │ │ └── rap2_val_5.prototxt │ │ └── ResNet50 │ │ │ ├── .gitsave │ │ │ ├── rap2_solver_trainval_1.prototxt │ │ │ ├── rap2_solver_trainval_2.prototxt │ │ │ ├── rap2_solver_trainval_3.prototxt │ │ │ ├── rap2_solver_trainval_4.prototxt │ │ │ ├── rap2_solver_trainval_5.prototxt │ │ │ ├── rap2_test_1.prototxt │ │ │ ├── rap2_test_2.prototxt │ │ │ ├── rap2_test_3.prototxt │ │ │ ├── rap2_test_4.prototxt │ │ │ ├── rap2_test_5.prototxt │ │ │ ├── rap2_trainval_1.prototxt │ │ │ ├── rap2_trainval_2.prototxt │ │ │ ├── rap2_trainval_3.prototxt │ │ │ ├── rap2_trainval_4.prototxt │ │ │ └── rap2_trainval_5.prototxt │ ├── results │ │ ├── CaffeNet │ │ │ └── .gitsave │ │ └── ResNet50 │ │ │ └── .gitsave │ ├── temp_models │ │ ├── CaffeNet │ │ │ └── .gitsave │ │ └── ResNet50 │ │ │ └── .gitsave │ ├── test_caffenet.sh │ ├── test_caffenet_all.sh │ ├── test_resnet_all.sh │ ├── train_caffenet.sh │ ├── train_resnet.sh │ ├── train_resnet_all.sh │ └── train_resnet_all_sub.sh ├── baseline-deepmar │ ├── compute_accuracy_fc8.py │ ├── compute_average_results_fc8.py │ ├── lmdb │ │ └── .gitsave │ ├── logs │ │ ├── CaffeNet │ │ │ └── .gitsave │ │ └── ResNet50 │ │ │ └── .gitsave │ ├── prototxts │ │ ├── CaffeNet │ │ │ ├── rap2_solver_train_1.prototxt │ │ │ ├── rap2_solver_trainval_1.prototxt │ │ │ ├── rap2_solver_trainval_2.prototxt │ │ │ ├── rap2_solver_trainval_3.prototxt │ │ │ ├── rap2_solver_trainval_4.prototxt │ │ │ ├── rap2_solver_trainval_5.prototxt │ │ │ ├── rap2_test_1.prototxt │ │ │ ├── rap2_test_2.prototxt │ │ │ ├── rap2_test_3.prototxt │ │ │ ├── rap2_test_4.prototxt │ │ │ ├── rap2_test_5.prototxt │ │ │ ├── rap2_train_1.prototxt │ │ │ ├── rap2_train_2.prototxt │ │ │ ├── rap2_train_3.prototxt │ │ │ ├── rap2_train_4.prototxt │ │ │ ├── rap2_train_5.prototxt │ │ │ ├── rap2_trainval_1.prototxt │ │ │ ├── rap2_trainval_2.prototxt │ │ │ ├── rap2_trainval_3.prototxt │ │ │ ├── rap2_trainval_4.prototxt │ │ │ ├── rap2_trainval_5.prototxt │ │ │ ├── rap2_val_1.prototxt │ │ │ ├── rap2_val_2.prototxt │ │ │ ├── rap2_val_3.prototxt │ │ │ ├── rap2_val_4.prototxt │ │ │ └── rap2_val_5.prototxt │ │ └── ResNet50 │ │ │ ├── rap2_solver_trainval_1.prototxt │ │ │ ├── rap2_solver_trainval_2.prototxt │ │ │ ├── rap2_solver_trainval_3.prototxt │ │ │ ├── rap2_solver_trainval_4.prototxt │ │ │ ├── rap2_solver_trainval_5.prototxt │ │ │ ├── rap2_test_1.prototxt │ │ │ ├── rap2_test_2.prototxt │ │ │ ├── rap2_test_3.prototxt │ │ │ ├── rap2_test_4.prototxt │ │ │ ├── rap2_test_5.prototxt │ │ │ ├── rap2_trainval_1.prototxt │ │ │ ├── rap2_trainval_2.prototxt │ │ │ ├── rap2_trainval_3.prototxt │ │ │ ├── rap2_trainval_4.prototxt │ │ │ └── rap2_trainval_5.prototxt │ ├── results │ │ ├── CaffeNet │ │ │ └── .gitsave │ │ └── ResNet50 │ │ │ └── .gitsave │ ├── temp_models │ │ ├── CaffeNet │ │ │ └── .gitsave │ │ └── ResNet50 │ │ │ └── .gitsave │ ├── test_caffenet.sh │ ├── test_caffenet_all.sh │ ├── test_resnet.sh │ ├── test_resnet_all.sh │ ├── train_caffenet.sh │ └── train_resnet50.sh ├── baseline-search │ ├── ap_results │ │ └── .gitsave │ ├── compute_average_precision.m │ ├── data │ │ └── .gitsave │ ├── evaluate_multiquery_attributes.m │ ├── evaluate_multiquery_attributes_index.m │ ├── generate_cnn_score.py │ ├── generate_cnn_score_binary.py │ ├── generate_multiquery_index.m │ ├── generate_query_names.m │ ├── generate_query_names.py │ ├── generate_svm_score.m │ ├── multiatt_query.mat │ ├── multiatt_query_index.txt │ ├── multiatt_query_name.txt │ ├── readme.txt │ ├── tmp.txt │ └── visualization │ │ └── .gitsave ├── baseline-svm │ ├── ReadMe.txt │ ├── models │ │ └── .gitsave │ ├── parts_rank_list │ │ └── .gitsave │ ├── personbyperson_recognition_result │ │ └── .gitsave │ ├── rap_evaluation.m │ ├── results │ │ └── .gitsave │ ├── v1_fullbody_analysis_mm.m │ ├── v1_fullbody_analysis_mm_statistic.m │ ├── v1_fullbody_analysis_mm_test.m │ ├── v1_fullbody_analysis_mm_viewpoint.m │ ├── v1_fullbody_analysis_mm_viewpoint_statistic.m │ ├── v2_fullbody_analysis_cc.m │ ├── v2_fullbody_analysis_cc_display.m │ ├── v2_fullbody_analysis_cc_viewpoint.m │ ├── v3_fullbody_analysis_co_test.m │ ├── v3_fullbody_analysis_co_test_personvspersons.m │ ├── v3_fullbody_analysis_co_test_personvspersons_display.m │ ├── v4_parts_analysis_cc.m │ ├── v4_parts_analysis_cc_display.m │ ├── v4_parts_analysis_cc_test.m │ └── view_rank_list │ │ └── .gitsave ├── pretrained │ └── .gitsave ├── static │ ├── generate_selected_attribute_name.py │ ├── images-list-binary │ │ └── .gitsave │ ├── images-list-parts │ │ └── .gitsave │ ├── images-list │ │ └── .gitsave │ ├── prepare_data.m │ ├── prepare_data_binary.m │ ├── prepare_data_parts.m │ ├── rap_annotation_attribute-english.txt │ ├── selected_attribute_idx.txt │ └── selected_attribute_name.txt └── utils │ └── liblinear-master │ ├── COPYRIGHT │ ├── Makefile │ ├── Makefile.win │ ├── README │ ├── blas │ ├── Makefile │ ├── blas.h │ ├── blasp.h │ ├── daxpy.c │ ├── ddot.c │ ├── dnrm2.c │ └── dscal.c │ ├── heart_scale │ ├── linear.cpp │ ├── linear.def │ ├── linear.h │ ├── matlab │ ├── Makefile │ ├── README │ ├── liblinearsvmpredict.mexa64 │ ├── liblinearsvmtest.mexa64 │ ├── liblinearsvmtrain.mexa64 │ ├── libsvmread.c │ ├── libsvmread.mexa64 │ ├── libsvmwrite.c │ ├── libsvmwrite.mexa64 │ ├── linear_model_matlab.c │ ├── linear_model_matlab.h │ ├── make.m │ ├── predict.c │ └── train.c │ ├── predict.c │ ├── python │ ├── Makefile │ ├── README │ ├── liblinear.py │ └── liblinearutil.py │ ├── train.c │ ├── tron.cpp │ ├── tron.h │ └── windows │ ├── liblinear.dll │ ├── libsvmread.mexw64 │ ├── libsvmwrite.mexw64 │ ├── predict.exe │ ├── predict.mexw64 │ ├── train.exe │ └── train.mexw64 └── person-reid ├── baseline-IDE-att-control ├── compute_accuracy_fc8.py ├── logs │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── prototxts │ ├── CaffeNet │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ └── ResNet50 │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt ├── temp_models │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── test_caffenet.sh ├── train_caffenet.sh └── train_resne50.sh ├── baseline-IDE-att ├── compute_accuracy_fc8.py ├── lmdb │ └── .gitsave ├── logs │ ├── APR │ │ └── .gitsave │ ├── APR2 │ │ └── .gitsave │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── prototxts │ ├── APR │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── APR2 │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ └── rap2_trainval.prototxt │ ├── CaffeNet │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ └── ResNet50 │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt ├── results │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── temp_models │ ├── APR │ │ └── .gitsave │ ├── APR2 │ │ └── .gitsave │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── test_caffenet.sh ├── train_apr.sh ├── train_apr2.sh ├── train_caffenet.sh └── train_resnet50.sh ├── baseline-IDE ├── logs │ ├── CaffeNet │ │ └── .gitsave │ ├── DenseNet121 │ │ └── .gitsave │ ├── MSCAN_body │ │ └── .gitsave │ ├── MSCAN_full │ │ └── .gitsave │ ├── MSCAN_part │ │ └── .gitsave │ ├── ResNet101 │ │ └── .gitsave │ ├── ResNet152 │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── prototxts │ ├── CaffeNet │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── DenseNet121 │ │ ├── DenseNet_121.prototxt │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── MSCAN_body │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── MSCAN_full │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── MSCAN_part │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── ResNet101 │ │ ├── ResNet-101-deploy.prototxt │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ ├── ResNet152 │ │ ├── ResNet-152-deploy.prototxt │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ └── ResNet50 │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt ├── temp_models │ ├── CaffeNet │ │ └── .gitsave │ ├── DenseNet121 │ │ └── .gitsave │ ├── MSCAN_body │ │ └── .gitsave │ ├── MSCAN_full │ │ └── .gitsave │ ├── MSCAN_part │ │ └── .gitsave │ ├── ResNet101 │ │ └── .gitsave │ ├── ResNet152 │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── train_caffenet.sh ├── train_densenet121.sh ├── train_mscan_body.sh ├── train_mscan_full.sh ├── train_mscan_part.sh ├── train_resnet.sh ├── train_resnet101.sh ├── train_resnet152.sh └── transfer_model_parameters.py ├── baseline-att ├── compute_accuracy_fc8.py ├── lmdb │ └── .gitsave ├── logs │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── prototxts │ ├── CaffeNet │ │ ├── .gitsave │ │ ├── rap2_solver_train.prototxt │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ ├── rap2_train.prototxt │ │ ├── rap2_trainval.prototxt │ │ └── rap2_val.prototxt │ └── ResNet50 │ │ ├── .gitsave │ │ ├── rap2_solver_trainval.prototxt │ │ ├── rap2_test.prototxt │ │ └── rap2_trainval.prototxt ├── results │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── temp_models │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── test_caffenet.sh ├── test_resnet.sh ├── train_caffenet.sh └── train_resnet50.sh ├── evaluation ├── ReadMe ├── deploy │ ├── APR │ │ ├── .gitsave │ │ └── deploy_IDE_att.prototxt │ ├── APR2 │ │ └── deploy_IDE_att.prototxt │ ├── CaffeNet │ │ ├── deploy_IDE_att.prototxt │ │ ├── deploy_IDE_att_cascade.prototxt │ │ ├── deploy_att.prototxt │ │ └── deploy_fc7.prototxt │ ├── DenseNet121 │ │ └── deploy_IDE_att.prototxt │ ├── MSCAN_body │ │ └── deploy_IDE_att.prototxt │ ├── MSCAN_full │ │ └── deploy_IDE_att.prototxt │ ├── MSCAN_part │ │ └── deploy_IDE_att.prototxt │ ├── ResNet101 │ │ └── deploy_IDE_att.prototxt │ ├── ResNet152 │ │ └── deploy_IDE_att.prototxt │ └── ResNet50 │ │ └── deploy_IDE_att.prototxt ├── features │ ├── .gitsave │ ├── APR │ │ └── .gitsave │ ├── APR2 │ │ └── .gitsave │ ├── CaffeNet │ │ └── .gitsave │ ├── DenseNet121 │ │ └── .gitsave │ ├── HACNN │ │ └── .gitsave │ ├── MSCAN_body │ │ └── .gitsave │ ├── MSCAN_full │ │ └── .gitsave │ ├── MSCAN_part │ │ └── .gitsave │ ├── MuDeep │ │ └── .gitsave │ ├── ResNet101 │ │ └── .gitsave │ ├── ResNet152 │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── lmdb │ └── .gitsave ├── parse_lmdb_to_mat.py ├── rap2_evaluation_features.m ├── rap2_feature_extraction_caffenet.sh ├── rap2_feature_extraction_caffenet_control_identity_instance.sh ├── rap2_feature_extraction_resnet.sh ├── rap2_feature_extraction_resnet_control_identity_instance.sh ├── rap2_reid_display_distractor.m ├── rap2_reid_display_distractor_control.m ├── rap2_results_statistics.m ├── rap2_test.m ├── rap2_test_control_identity_identity.m ├── rap2_test_control_identity_instance.m ├── rap2_test_control_instance_identity.m ├── rap2_test_control_single_cross.m ├── rap2_test_control_single_cross_quantively.m ├── rap2_test_image_name.txt ├── rap2_test_images.m ├── results │ ├── APR │ │ └── .gitsave │ ├── APR2 │ │ └── .gitsave │ ├── CaffeNet │ │ └── .gitsave │ ├── DenseNet121 │ │ └── .gitsave │ ├── HACNN │ │ └── .gitsave │ ├── MSCAN_body │ │ └── .gitsave │ ├── MSCAN_full │ │ └── .gitsave │ ├── MSCAN_part │ │ └── .gitsave │ ├── MuDeep │ │ └── .gitsave │ ├── ResNet101 │ │ └── .gitsave │ ├── ResNet152 │ │ └── .gitsave │ ├── ResNet50 │ │ └── .gitsave │ ├── elf │ │ └── .gitsave │ ├── gog │ │ └── .gitsave │ ├── jstl │ │ └── .gitsave │ ├── lomo │ │ └── .gitsave │ └── pcaelf │ │ └── .gitsave ├── results_control │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave ├── tmp │ └── .gitsave ├── utils │ ├── KISSME │ │ ├── .KISSME.m.swp │ │ ├── COPYRIGHT │ │ ├── CrossValidatePairs.m │ │ ├── KISSME.m │ │ ├── evalData.m │ │ ├── helper │ │ │ ├── PairMetricLearning.m │ │ │ ├── SOPD.cpp │ │ │ ├── SOPD.mexa64 │ │ │ ├── ToyCarPairsToLabels.m │ │ │ ├── calcMCMC.m │ │ │ ├── calcmAP.m │ │ │ ├── cdistM.m │ │ │ ├── col_sum.m │ │ │ ├── compute_AP.m.back │ │ │ ├── compute_cmc.m │ │ │ ├── exportAndCropFigure.m │ │ │ ├── icg_plotroc.m │ │ │ ├── icg_roc.m │ │ │ ├── pairsToLabels.m │ │ │ ├── sqdist.m │ │ │ └── validateCovMatrix.m │ │ ├── init.m │ │ ├── install3dpartylibs.m │ │ ├── learnAlgos │ │ │ ├── LearnAlgo.m │ │ │ ├── LearnAlgoITML.m │ │ │ ├── LearnAlgoKISSME.m │ │ │ ├── LearnAlgoLDML.m │ │ │ ├── LearnAlgoLMNN.m │ │ │ ├── LearnAlgoMLEuclidean.m │ │ │ ├── LearnAlgoMahal.m │ │ │ └── LearnAlgoSVM.m │ │ └── lib │ │ │ └── MildML_0.1 │ │ │ ├── README │ │ │ ├── compute_tasks.c │ │ │ ├── hist_count.m │ │ │ ├── ldml_learn.m │ │ │ ├── mexall.m │ │ │ ├── mildml_evalg_sparse.c │ │ │ ├── mildml_evalg_sparse.mexa64 │ │ │ ├── mildml_fg.m │ │ │ ├── mildml_learn.m │ │ │ ├── minimize.m │ │ │ └── vec.m │ ├── LOMO_XQDA │ │ ├── LICENSE │ │ ├── Liao-CVPR15-LOMO-XQDA.pdf │ │ ├── README.txt │ │ ├── bin │ │ │ ├── Retinex.mexa64 │ │ │ ├── Retinex.mexglx │ │ │ ├── Retinex.mexw32 │ │ │ └── Retinex.mexw64 │ │ ├── code │ │ │ ├── Demo_LOMO.m │ │ │ ├── Demo_XQDA.m │ │ │ ├── EvalCMC.m │ │ │ ├── LOMO.m │ │ │ ├── MahDist.m │ │ │ ├── SILTP.m │ │ │ └── XQDA.m │ │ ├── images │ │ │ ├── 000_45_a.bmp │ │ │ └── 000_45_b.bmp │ │ └── results │ │ │ ├── cuhk01_lomo_xqda.mat │ │ │ ├── cuhk03_detected_lomo_xqda.mat │ │ │ ├── cuhk03_labeled_lomo_xqda.mat │ │ │ ├── qmul_grid_lomo_xqda.mat │ │ │ ├── qmul_grid_lomo_xqda_camera-network.mat │ │ │ └── viper_lomo_xqda.mat │ ├── applypca.m │ ├── applypca2.m │ ├── col_sum.m │ ├── compute_AP.m │ ├── compute_AP_speed.m │ ├── gen_train_sample_kissme.m │ ├── gen_train_sample_xqda.m │ ├── rap_evaluation.m │ └── sqdist.m ├── visualization │ ├── .gitsave │ ├── CaffeNet │ │ └── .gitsave │ └── ResNet50 │ │ └── .gitsave └── visualization_control │ ├── .gitsave │ ├── CaffeNet │ └── .gitsave │ └── ResNet50 │ └── .gitsave ├── pretrained └── .gitsave └── static ├── ReadMe ├── classification-0 └── .gitsave ├── classification-1 └── .gitsave ├── classification-control └── .gitsave ├── classification └── .gitsave ├── generate_att_trainval_test.m ├── generate_att_weights.m ├── generate_att_weights_control.m ├── generate_ide_att_trainval_test.m ├── generate_ide_att_trainval_test_apr2.m ├── generate_ide_att_trainval_test_control.m ├── generate_ide_att_trainvaltest.m ├── 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