├── README.md ├── configs.py ├── extra_train.py ├── figs └── overview.png ├── loaders ├── CUB200.py ├── ImageNet.py ├── generate_matplob.py ├── get_loader.py └── matplob.py ├── main_contrast.py ├── main_recon.py ├── model ├── ACE.py ├── ConceptShape.py ├── contrast │ ├── loss.py │ ├── model_main.py │ ├── position_encode.py │ └── slots.py ├── kmeans.py ├── protopnet.py └── reconstruct │ ├── loss.py │ ├── model_main.py │ ├── position_encode.py │ └── slots.py ├── process.py ├── requirements ├── timm ├── __init__.py ├── data │ ├── __init__.py │ ├── auto_augment.py │ ├── config.py │ ├── constants.py │ ├── dataset.py │ ├── distributed_sampler.py │ ├── loader.py │ ├── mixup.py │ ├── random_erasing.py │ ├── tf_preprocessing.py │ ├── transforms.py │ └── transforms_factory.py ├── loss │ ├── __init__.py │ ├── cross_entropy.py │ ├── jsd.py │ └── slot_loss.py ├── models │ ├── __init__.py │ ├── densenet.py │ ├── dla.py │ ├── dpn.py │ ├── efficientnet.py │ ├── efficientnet_blocks.py │ ├── efficientnet_builder.py │ ├── factory.py │ ├── feature_hooks.py │ ├── gluon_resnet.py │ ├── gluon_xception.py │ ├── helpers.py │ ├── hrnet.py │ ├── inception_resnet_v2.py │ ├── inception_v3.py │ ├── inception_v4.py │ ├── layers │ │ ├── __init__.py │ │ ├── activations.py │ │ ├── activations_jit.py │ │ ├── activations_me.py │ │ ├── adaptive_avgmax_pool.py │ │ ├── anti_aliasing.py │ │ ├── blur_pool.py │ │ ├── cbam.py │ │ ├── cond_conv2d.py │ │ ├── config.py │ │ ├── conv2d_same.py │ │ ├── conv_bn_act.py │ │ ├── create_act.py │ │ ├── create_attn.py │ │ ├── create_conv2d.py │ │ ├── create_norm_act.py │ │ ├── drop.py │ │ ├── eca.py │ │ ├── evo_norm.py │ │ ├── helpers.py │ │ ├── inplace_abn.py │ │ ├── median_pool.py │ │ ├── mixed_conv2d.py │ │ ├── norm_act.py │ │ ├── padding.py │ │ ├── pool2d_same.py │ │ ├── se.py │ │ ├── selective_kernel.py │ │ ├── separable_conv.py │ │ ├── space_to_depth.py │ │ ├── split_attn.py │ │ ├── split_batchnorm.py │ │ ├── test_time_pool.py │ │ └── weight_init.py │ ├── mobilenetv3.py │ ├── nasnet.py │ ├── pnasnet.py │ ├── pruned │ │ ├── ecaresnet101d_pruned.txt │ │ ├── ecaresnet50d_pruned.txt │ │ ├── efficientnet_b1_pruned.txt │ │ ├── efficientnet_b2_pruned.txt │ │ └── efficientnet_b3_pruned.txt │ ├── registry.py │ ├── regnet.py │ ├── res2net.py │ ├── resnest.py │ ├── resnet.py │ ├── selecsls.py │ ├── senet.py │ ├── sknet.py │ ├── tresnet.py │ ├── vovnet.py │ └── xception.py ├── optim │ ├── __init__.py │ ├── adamw.py │ ├── lookahead.py │ ├── nadam.py │ ├── novograd.py │ ├── nvnovograd.py │ ├── optim_factory.py │ ├── radam.py │ └── rmsprop_tf.py ├── scheduler │ ├── __init__.py │ ├── cosine_lr.py │ ├── plateau_lr.py │ ├── scheduler.py │ ├── scheduler_factory.py │ ├── step_lr.py │ └── tanh_lr.py ├── utils.py └── version.py ├── utils ├── cpt_evaluation.py ├── draw_tools.py ├── engine_contrast.py ├── engine_recon.py ├── feature_extraction.py ├── main_concept_shape.py ├── quantitative_eval.py ├── record.py └── tools.py ├── vis_contrast.py └── 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