├── Adaptive_Cluster_Transformer ├── ACT │ ├── __init__.py │ ├── ada_clustering_attention.py │ ├── attention_layer.py │ └── extensions │ │ ├── __init__.py │ │ ├── ada_cluster.cu │ │ ├── broadcast.cu │ │ └── weighted_sum.cu ├── README.md ├── experiments │ ├── datasets │ │ ├── __init__.py │ │ ├── coco.py │ │ ├── coco_eval.py │ │ ├── coco_panoptic.py │ │ ├── panoptic_eval.py │ │ └── transforms.py │ ├── engine.py │ ├── main.py │ ├── models │ │ ├── __init__.py │ │ ├── backbone.py │ │ ├── detr.py │ │ ├── matcher.py │ │ ├── position_encoding.py │ │ ├── segmentation.py │ │ └── transformer.py │ └── util │ │ ├── __init__.py │ │ ├── box_ops.py │ │ ├── misc.py │ │ └── plot_utils.py └── setup.py ├── Multi_scale_SMCA.zip ├── README.md ├── d2 ├── README.md ├── configs │ ├── detr_256_6_6_torchvision.yaml │ └── detr_segm_256_6_6_torchvision.yaml ├── converter.py ├── detr │ ├── __init__.py │ ├── config.py │ ├── dataset_mapper.py │ └── detr.py └── train_net.py ├── datasets ├── __init__.py ├── coco.py ├── coco_eval.py ├── coco_panoptic.py ├── panoptic_eval.py └── transforms.py ├── engine.py ├── evaluate_coco.sh ├── hubconf.py ├── main.py ├── make.py ├── models ├── __init__.py ├── quant_smca_detr │ ├── _quan_base_plus.py │ ├── attention_layer.py │ ├── backbone.py │ ├── detr.py │ ├── lsq_plus.py │ ├── matcher.py │ ├── position_encoding.py │ ├── quant_attention_layer.py │ ├── quant_mobilenet.py │ ├── quant_resnet.py │ ├── run.sh │ ├── segmentation.py │ └── transformer.py └── smca_detr │ ├── attention_layer.py │ ├── backbone.py │ ├── detr.py │ ├── matcher.py │ ├── position_encoding.py │ ├── segmentation.py │ └── transformer.py ├── requirements.txt ├── run_with_submitit.py ├── test_all.py ├── tox.ini └── util ├── __init__.py ├── box_ops.py ├── misc.py └── plot_utils.py /Adaptive_Cluster_Transformer/ACT/__init__.py: -------------------------------------------------------------------------------- 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