├── .flake8 ├── .gitattributes ├── .gitignore ├── ABSTRACTIONS.md ├── DATASET.md ├── LICENSE ├── Models.md ├── README.md ├── Setup.ipynb ├── assets └── model.png ├── cmd.cache ├── configs ├── DTrans.yaml ├── LgTrans.yaml ├── archived │ ├── e2e_relation_R_101_FPN_1x.yaml │ ├── e2e_relation_VGG16_1x.yaml │ ├── e2e_relation_X_101_32_8_FPN_1x.yaml │ ├── e2e_relation_detector_R_101_FPN_1x.yaml │ ├── e2e_relation_detector_VGG16_1x.yaml │ ├── e2e_relation_detector_X_101_32_8_FPN_1x.yaml │ └── e2e_relation_detector_X_101_32_8_FPN_1x_800.yaml ├── e2e_relation_X_101_32_8_FPN_1x_trans_predcls.yaml ├── e2e_relation_X_101_32_8_FPN_1x_trans_sgcls.yaml ├── e2e_relation_X_101_32_8_FPN_1x_trans_sgdet.yaml └── exps │ ├── bs_16.yaml │ ├── bs_4.yaml │ ├── bs_8.yaml │ ├── predcls.yaml │ ├── rtpb_cb.yaml │ ├── sgcls.yaml │ └── sgdet.yaml ├── csrc_backup ├── ROIAlign.h ├── ROIPool.h ├── SigmoidFocalLoss.h ├── cpu │ ├── ROIAlign_cpu.cpp │ ├── nms_cpu.cpp │ └── vision.h ├── cuda │ ├── ROIAlign_cuda.cu │ ├── ROIPool_cuda.cu │ ├── SigmoidFocalLoss_cuda.cu │ ├── deform_conv_cuda.cu │ ├── deform_conv_kernel_cuda.cu │ ├── deform_pool_cuda.cu │ ├── deform_pool_kernel_cuda.cu │ ├── nms.cu │ └── vision.h ├── deform_conv.h ├── deform_pool.h ├── nms.h └── vision.cpp ├── datasets └── vg │ ├── 0.generate_attribute_labels.ipynb │ ├── VG-SGG-dicts-with-attri.json │ ├── generate_attribute_labels.py │ ├── image_data.json │ ├── rel_count.pth │ ├── weight_099.pth │ ├── weight_0999.pth │ ├── weight_09999.pth │ └── weight_base.pth ├── demo ├── README.md ├── demo_e2e_mask_rcnn_R_50_FPN_1x.png ├── demo_e2e_mask_rcnn_X_101_32x8d_FPN_1x.png ├── output_format.png ├── predictor.py └── webcam.py ├── docker ├── Dockerfile └── docker-jupyter │ ├── Dockerfile │ └── jupyter_notebook_config.py ├── maskrcnn_benchmark ├── __init__.py ├── config │ ├── __init__.py │ ├── defaults.py │ ├── paths_catalog.py │ └── utils.py ├── csrc │ ├── ROIAlign.h │ ├── ROIPool.h │ ├── SigmoidFocalLoss.h │ ├── cpu │ │ ├── ROIAlign_cpu.cpp │ │ ├── nms_cpu.cpp │ │ └── vision.h │ ├── cuda │ │ ├── ROIAlign_cuda.cu │ │ ├── ROIPool_cuda.cu │ │ ├── SigmoidFocalLoss_cuda.cu │ │ ├── deform_conv_cuda.cu │ │ ├── deform_conv_kernel_cuda.cu │ │ ├── deform_pool_cuda.cu │ │ ├── deform_pool_kernel_cuda.cu │ │ ├── nms.cu │ │ └── vision.h │ ├── deform_conv.h │ ├── deform_pool.h │ ├── nms.h │ └── vision.cpp ├── data │ ├── README.md │ ├── __init__.py │ ├── build.py │ ├── collate_batch.py │ ├── datasets │ │ ├── __init__.py │ │ ├── coco.py │ │ ├── concat_dataset.py │ │ ├── evaluation │ │ │ ├── __init__.py │ │ │ ├── coco │ │ │ │ ├── __init__.py │ │ │ │ └── coco_eval.py │ │ │ ├── vg │ │ │ │ ├── __init__.py │ │ │ │ ├── sgg_eval.py │ │ │ │ ├── vg_capgraphs_anno.json │ │ │ │ ├── vg_eval.py │ │ │ │ ├── vg_test_capgraph_anno.json │ │ │ │ ├── vg_test_caption_anno.json │ │ │ │ └── zeroshot_triplet.pytorch │ │ │ └── voc │ │ │ │ ├── __init__.py │ │ │ │ └── voc_eval.py │ │ ├── list_dataset.py │ │ ├── visual_genome.py │ │ └── voc.py │ ├── samplers │ │ ├── __init__.py │ │ ├── distributed.py │ │ ├── grouped_batch_sampler.py │ │ └── iteration_based_batch_sampler.py │ └── transforms │ │ ├── __init__.py │ │ ├── build.py │ │ └── transforms.py ├── engine │ ├── __init__.py │ ├── bbox_aug.py │ ├── inference.py │ └── trainer.py ├── image_retrieval │ ├── S2G-RETRIEVAL.md │ ├── __init__.py │ ├── dataloader.py │ ├── evaluation.py │ ├── model.py │ ├── modelv2.py │ └── preprocessing.py ├── layers │ ├── __init__.py │ ├── _utils.py │ ├── batch_norm.py │ ├── dcn │ │ ├── __init__.py │ │ ├── deform_conv_func.py │ │ ├── deform_conv_module.py │ │ ├── deform_pool_func.py │ │ └── deform_pool_module.py │ ├── entropy_loss.py │ ├── kl_div_loss.py │ ├── label_smoothing_loss.py │ ├── misc.py │ ├── nms.py │ ├── roi_align.py │ ├── roi_pool.py │ ├── sigmoid_focal_loss.py │ └── smooth_l1_loss.py ├── modeling │ ├── __init__.py │ ├── backbone │ │ ├── __init__.py │ │ ├── backbone.py │ │ ├── fbnet.py │ │ ├── fbnet_builder.py │ │ ├── fbnet_modeldef.py │ │ ├── fpn.py │ │ ├── resnet.py │ │ └── vgg.py │ ├── balanced_positive_negative_sampler.py │ ├── box_coder.py │ ├── detector │ │ ├── __init__.py │ │ ├── detectors.py │ │ └── generalized_rcnn.py │ ├── make_layers.py │ ├── matcher.py │ ├── poolers.py │ ├── registry.py │ ├── roi_heads │ │ ├── __init__.py │ │ ├── attribute_head │ │ │ ├── __init__.py │ │ │ ├── attribute_head.py │ │ │ ├── loss.py │ │ │ ├── roi_attribute_feature_extractors.py │ │ │ └── roi_attribute_predictors.py │ │ ├── box_head │ │ │ ├── __init__.py │ │ │ ├── box_head.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ ├── roi_box_feature_extractors.py │ │ │ ├── roi_box_predictors.py │ │ │ └── sampling.py │ │ ├── keypoint_head │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── keypoint_head.py │ │ │ ├── loss.py │ │ │ ├── roi_keypoint_feature_extractors.py │ │ │ └── roi_keypoint_predictors.py │ │ ├── mask_head │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ ├── mask_head.py │ │ │ ├── roi_mask_feature_extractors.py │ │ │ └── roi_mask_predictors.py │ │ ├── relation_head │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ ├── model_cross_transformer.py │ │ │ ├── model_dual_transformer.py │ │ │ ├── model_local_global_transformer.py │ │ │ ├── model_local_global_transformer_backup.py │ │ │ ├── model_motifs.py │ │ │ ├── model_motifs_with_attribute.py │ │ │ ├── model_msg_passing.py │ │ │ ├── model_transformer.py │ │ │ ├── model_vctree.py │ │ │ ├── model_vtranse.py │ │ │ ├── modules │ │ │ │ ├── __init__.py │ │ │ │ ├── bias_module.py │ │ │ │ └── utils.py │ │ │ ├── relation_head.py │ │ │ ├── roi_relation_feature_extractors.py │ │ │ ├── roi_relation_predictors.py │ │ │ ├── sampling.py │ │ │ ├── utils_motifs.py │ │ │ ├── utils_relation.py │ │ │ ├── utils_treelstm.py │ │ │ └── utils_vctree.py │ │ └── roi_heads.py │ ├── rpn │ │ ├── __init__.py │ │ ├── anchor_generator.py │ │ ├── inference.py │ │ ├── loss.py │ │ ├── retinanet │ │ │ ├── __init__.py │ │ │ ├── inference.py │ │ │ ├── loss.py │ │ │ └── retinanet.py │ │ ├── rpn.py │ │ └── utils.py │ └── utils.py ├── solver │ ├── __init__.py │ ├── build.py │ └── lr_scheduler.py ├── structures │ ├── __init__.py │ ├── bounding_box.py │ ├── boxlist_ops.py │ ├── image_list.py │ ├── keypoint.py │ └── segmentation_mask.py └── utils │ ├── README.md │ ├── __init__.py │ ├── c2_model_loading.py │ ├── checkpoint.py │ ├── collect_env.py │ ├── comm.py │ ├── cv2_util.py │ ├── env.py │ ├── imports.py │ ├── logger.py │ ├── metric_logger.py │ ├── miscellaneous.py │ ├── model_serialization.py │ ├── model_zoo.py │ ├── registry.py │ ├── timer.py │ └── wandb_utils.py ├── requirements.txt ├── scripts ├── predcls │ ├── DT_base.sh │ ├── DT_base_cb.sh │ ├── DT_base_clsbal_reweight.sh │ ├── DT_base_eb.sh │ ├── DT_base_focal.sh │ ├── DT_base_ldam.sh │ ├── DT_base_pb.sh │ ├── DT_base_reweight.sh │ ├── DT_base_vb.sh │ ├── motif_base.sh │ ├── motif_base_cb.sh │ ├── vctree_base.sh │ └── vctree_base_cb.sh ├── sgcls │ ├── DT_base.sh │ ├── DT_base_cb.sh │ ├── DT_base_clsbal_reweight.sh │ ├── DT_base_eb.sh │ ├── DT_base_focal.sh │ ├── DT_base_ldam.sh │ ├── DT_base_pb.sh │ ├── DT_base_reweight.sh │ ├── DT_base_vb.sh │ ├── motif_base.sh │ ├── motif_base_cb.sh │ ├── vctree_base.sh │ └── vctree_base_cb.sh └── sgg │ ├── DT_base.sh │ ├── DT_base_cb.sh │ ├── DT_base_clsbal_reweight.sh │ ├── DT_base_eb.sh │ ├── DT_base_focal.sh │ ├── DT_base_ldam.sh │ ├── DT_base_pb.sh │ ├── DT_base_reweight.sh │ ├── DT_base_vb.sh │ ├── motif_base.sh │ ├── motif_base_cb.sh │ ├── vctree_base.sh │ └── vctree_base_cb.sh ├── setup.py ├── tests ├── checkpoint.py ├── env_tests │ └── env.py ├── test_backbones.py ├── test_box_coder.py ├── test_configs.py ├── test_data_samplers.py ├── test_detectors.py ├── test_fbnet.py ├── test_feature_extractors.py ├── test_metric_logger.py ├── test_nms.py ├── test_predictors.py ├── test_rpn_heads.py ├── test_segmentation_mask.py └── utils.py ├── tools ├── assemb_coco_data.py ├── cityscapes │ ├── convert_cityscapes_to_coco.py │ └── 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