├── .idea ├── deployment.xml ├── inspectionProfiles │ └── profiles_settings.xml ├── modules.xml ├── siren.iml ├── vcs.xml └── workspace.xml ├── LICENSE ├── README.md ├── detr ├── .idea │ └── workspace.xml ├── bdd_coco_vmf.py ├── benchmark.py ├── configs │ ├── bdd │ │ ├── siren.sh │ │ └── vanilla.sh │ └── voc │ │ ├── siren.sh │ │ └── vanilla.sh ├── datasets │ ├── __init__.py │ ├── cache_ss.py │ ├── category.txt │ ├── coco.py │ ├── coco_eval.py │ ├── coco_eval_proposals.py │ ├── coco_panoptic.py │ ├── data_prefetcher.py │ ├── panoptic_eval.py │ ├── samplers.py │ ├── selfdet.py │ ├── torchvision_datasets │ │ ├── __init__.py │ │ ├── coco.py │ │ └── voc.py │ ├── transforms.py │ └── voc_eval.py ├── engine.py ├── main.py ├── metric_utils.py ├── models │ ├── __init__.py │ ├── backbone.py │ ├── def_matcher.py │ ├── deformable_detr.py │ ├── deformable_transformer.py │ ├── detr.py │ ├── detr_matcher.py │ ├── hyper_uniform.py │ ├── hyperspherical_uniform.py │ ├── ive.py │ ├── ops │ │ ├── functions │ │ │ ├── __init__.py │ │ │ └── ms_deform_attn_func.py │ │ ├── make.sh │ │ ├── modules │ │ │ ├── __init__.py │ │ │ └── ms_deform_attn.py │ │ ├── setup.py │ │ ├── src │ │ │ ├── cpu │ │ │ │ ├── ms_deform_attn_cpu.cpp │ │ │ │ └── ms_deform_attn_cpu.h │ │ │ ├── cuda │ │ │ │ ├── ms_deform_attn_cuda.cu │ │ │ │ ├── ms_deform_attn_cuda.h │ │ │ │ └── ms_deform_im2col_cuda.cuh │ │ │ ├── ms_deform_attn.h │ │ │ └── vision.cpp │ │ └── test.py │ ├── position_encoding.py │ ├── segmentation.py │ ├── swav_resnet50.py │ ├── transformer.py │ ├── utils.py │ └── vmf.py ├── saved_proto_kappa_voc │ ├── kappa.npy │ └── proto.npy ├── tools │ ├── launch.py │ ├── run_dist_launch.sh │ └── run_dist_slurm.sh ├── util │ ├── __init__.py │ ├── box_ops.py │ ├── default_args.py │ ├── misc.py │ └── plot_utils.py ├── utils.py ├── vMF.py ├── visualize.py └── voc_coco_vmf.py ├── rcnn ├── detection │ ├── __init__.py │ ├── apply_net.py │ ├── configs │ │ ├── Base-DETR.yaml │ │ ├── Base-Inference.yaml │ │ ├── Base-RCNN-FPN.yaml │ │ ├── Base-RetinaNet.yaml │ │ ├── Inference │ │ │ ├── bayes_od.yaml │ │ │ ├── bayes_od_mc_dropout.yaml │ │ │ ├── ensembles_post_nms_mixture_of_gaussians.yaml │ │ │ ├── ensembles_pre_nms.yaml │ │ │ ├── mc_dropout_ensembles_post_nms_mixture_of_gaussians.yaml │ │ │ ├── mc_dropout_ensembles_pre_nms.yaml │ │ │ └── standard_nms.yaml │ │ └── VOC-Detection │ │ │ └── faster-rcnn │ │ │ └── center64_0.1.yaml │ ├── core │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-38.pyc │ │ │ └── setup.cpython-38.pyc │ │ ├── datasets │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-38.pyc │ │ │ │ ├── metadata.cpython-38.pyc │ │ │ │ └── setup_datasets.cpython-38.pyc │ │ │ ├── convert_openimages_odd_to_coco.py │ │ │ ├── convert_openimages_to_coco.py │ │ │ ├── convert_openimages_to_coco_oe.py │ │ │ ├── convert_voc_to_coco.py │ │ │ ├── convert_voc_to_coco_id.py │ │ │ ├── convert_voc_to_coco_ood.py │ │ │ ├── generate_coco_corrupted_dataset.py │ │ │ ├── metadata.py │ │ │ ├── process_coco_ood.py │ │ │ ├── process_coco_ood_train.py │ │ │ ├── process_coco_ood_wrt_bdd.py │ │ │ ├── process_voc.py │ │ │ ├── process_voc_id.py │ │ │ ├── process_voc_ood.py │ │ │ └── setup_datasets.py │ │ ├── evaluation_tools │ │ │ ├── __init__.py │ │ │ ├── evaluation_utils.py │ │ │ └── scoring_rules.py │ │ ├── setup.py │ │ └── visualization_tools │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-38.pyc │ │ │ └── probabilistic_visualizer.cpython-38.pyc │ │ │ ├── probabilistic_visualizer.py │ │ │ └── results_processing_tools.py │ ├── default_trainer.py │ ├── default_trainer_gmm.py │ ├── inference │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-38.pyc │ │ │ ├── image_corruptions.cpython-38.pyc │ │ │ ├── inference_core.cpython-38.pyc │ │ │ ├── inference_utils.cpython-38.pyc │ │ │ ├── probabilistic_rcnn_predictor.cpython-38.pyc │ │ │ ├── probabilistic_retinanet_predictor.cpython-38.pyc │ │ │ └── rcnn_predictor.cpython-38.pyc │ │ ├── image_corruptions.py │ │ ├── inference_core.py │ │ ├── inference_utils.py │ │ ├── rcnn_predictor.py │ │ └── retinanet_predictor.py │ ├── modeling │ │ ├── Imagelist.py │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-38.pyc │ │ │ ├── modeling_utils.cpython-38.pyc │ │ │ ├── plain_generalized_rcnn_logistic_gmm.cpython-38.pyc │ │ │ ├── probabilistic_generalized_rcnn.cpython-38.pyc │ │ │ ├── probabilistic_retinanet.cpython-38.pyc │ │ │ ├── regnet.cpython-38.pyc │ │ │ ├── regnet_model.cpython-38.pyc │ │ │ └── roihead_gmm.cpython-38.pyc │ │ ├── modeling_utils.py │ │ ├── plain_generalized_rcnn_logistic_gmm.py │ │ ├── probabilistic_generalized_rcnn.py │ │ ├── probabilistic_retinanet.py │ │ ├── proposal_utils.py │ │ ├── regnet.py │ │ ├── regnet_model.py │ │ └── roihead_gmm.py │ ├── offline_evaluation │ │ ├── __init__.py │ │ ├── average_metrics_over_iou_thresholds.py │ │ ├── compute_average_precision.py │ │ ├── compute_calibration_errors.py │ │ ├── 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