需求：需求：分裂注意力网络
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2021-02-04
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ResNeSt-master.zip （66个子文件） 
ResNeSt-master .github workflows 
pypi_release.yml 897B unit_test.yml 897B pypi_nightly.yml 883B resnest torch resnest.py 3KB __init__.py 47B splat.py 4KB ablation.py 5KB resnet.py 13KB utils.py 4KB __init__.py 0B gluon dropblock.py 3KB data_utils.py 2KB resnest.py 3KB model_store.py 4KB __init__.py 80B splat.py 3KB ablation.py 5KB resnet.py 18KB model_zoo.py 2KB transforms.py 13KB d2 config.py 726B resnest.py 25KB __init__.py 111B splat.py 6KB hubconf.py 382B scripts torch verify.py 7KB dataset prepare_imagenet.py 4KB gluon train.py 19KB verify.py 6KB README.md 1KB LICENSE 11KB ablation.md 1KB setup.py 2KB README.md 7KB tests test_torch.py 959B test_radix_major.py 5KB test_gluon.py 834B .gitignore 2KB miscs 
abstract.jpg 147KB d2 configs COCO-Detection faster_rcnn_ResNeSt_50_FPN_dcn_syncbn_range-scale_1x.yaml 772B faster_rcnn_R_50_FPN_syncbn_range-scale_1x.yaml 440B faster_cascade_rcnn_R_50_FPN_syncbn_range-scale_1x.yaml 570B faster_rcnn_ResNeSt_101_FPN_syncbn_range-scale_1x.yaml 645B faster_cascade_rcnn_ResNeSt_50_FPN_syncbn_range-scale-1x.yaml 749B faster_rcnn_ResNeSt_50_FPN_syncbn_range-scale_1x.yaml 649B faster_cascade_rcnn_ResNeSt_200_FPN_syncbn_range-scale_1x.yaml 753B faster_cascade_rcnn_R_101_FPN_syncbn_range-scale_1x.yaml 573B faster_rcnn_R_101_FPN_syncbn_range-scale_1x.yaml 470B faster_cascade_rcnn_ResNeSt_101_FPN_syncbn_range-scale_1x.yaml 751B COCO-PanopticSegmentation panoptic_ResNeSt_200_FPN_syncBN_tricks_3x.yaml 840B ResNeSt-Base-Panoptic-FPN.yaml 240B COCO-InstanceSegmentation mask_cascade_rcnn_ResNeSt_200_FPN_dcn_syncBN_all_tricks_3x.yaml 1018B mask_rcnn_R_50_FPN_syncbn_1x.yaml 354B mask_rcnn_R_101_FPN_syncbn_1x.yaml 356B mask_cascade_rcnn_ResNeSt_200_FPN_syncBN_all_tricks_3x.yaml 887B mask_cascade_rcnn_ResNeSt_50_FPN_syncBN_1x.yaml 701B mask_cascade_rcnn_R_101_FPN_syncbn_1x.yaml 433B mask_cascade_rcnn_ResNeSt_101_FPN_syncBN_1x.yaml 701B mask_rcnn_ResNeSt_101_FPN_syncBN_1x.yaml 599B mask_rcnn_ResNeSt_50_FPN_syncBN_1x.yaml 597B mask_cascade_rcnn_R_50_FPN_syncbn_1x.yaml 431B ResNest-Base-RCNN-FPN.yaml 87B Base-RCNN-FPN.yaml 1KB train_net.py 6KB datasets prepare_coco.py 2KB README.md 15KB资源评论
