TTA COCO FasterRCNN R50
Faster R-CNN ResNet-50-FPN trained on COCO (91-class id space), re-hosted for the TTA-Evaluation-Harness as the two-stage detection source model (sibling of WNJXYK/TTA-COCO-DETR-R50).
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 160 MB
- Versão
- vRevision 9c0297a
- Atualizado
- 16 de set. de 2026
- Downloads
- 0
- Fonte
- Hugging Face
Descrição da fonte
TTA-COCO-FasterRCNN-R50
Faster R-CNN ResNet-50-FPN trained on COCO (91-class id space), re-hosted for the
TTA-Evaluation-Harness as the two-stage detection source model (sibling of
WNJXYK/TTA-COCO-DETR-R50).
model.safetensors is the torchvision fasterrcnn_resnet50_fpn COCO state_dict
(FasterRCNN_ResNet50_FPN_Weights.DEFAULT, Apache-2.0). The harness loads it into
a real-BatchNorm2d backbone (weights_backbone=None, strict=False) so BN-based
test-time adaptation has a genuine adaptation surface. Pinned by revision: v1.0.
Fontes
1 fonte
Fontes
1 fonteVerificado 2 de set.
Artefatos de modelo
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Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- license: apache-2.0 tags: - object-detection - test-time-adaptation - faster-rcnn - coco --- # TTA-COCO-FasterRCNN-R50 Faster R-CNN ResNet-50-FPN trained on COCO (91-class id space), re-hosted for the TTA-Evaluation-Harness as the two-stage detection source model (sibling of `WNJXYK/TTA-COCO-DETR-R50`). `model.safetensors` is the torchvision `fasterrcnn_resnet50_fpn` COCO `state_dict` (`FasterRCNN_ResNet50_FPN_Weights.DEFAULT`, Apache-2.0). The harness loads it into a real-`BatchNorm2d` backbone (`weights_backbone=None`, `strict=False`) so BN-based test-time adaptation has a genuine adaptation surface. Pinned by `revision: v1.0`.
Source context: 0 downloads · 0 likes · Pipeline object-detection · Repo WNJXYK/TTA-COCO-FasterRCNN-R50
