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deta-resnet-50-24-epochs
jozhang97/deta-resnet-50-24-epochs
deta-resnet-50-24-epochs is a object detection model from jozhang97. Use it when you need objects located in an image. It is set up for transformers.
By Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl
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At a glance
- Task
- Object Detection
- Library
- transformers
- Model type
- deta
- Access
- Public
- Created
- Jan 30, 2023
- Updated
- Sep 7, 2023
- SHA
- d5162bbd
Model card
From the Hugging Face model README
Detection Transformers with Assignment
By Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl
From the paper NMS Strikes Back.
TL; DR. Detection Transformers with Assignment (DETA) re-introduce IoU assignment and NMS for transformer-based detectors. DETA trains and tests comparibly as fast as Deformable-DETR and converges much faster (50.2 mAP in 12 epochs on COCO).
- Task
- Object Detection
- Library
- transformers
- Type
- deta
- Created
- Jan 30, 2023
- Updated
- Sep 7, 2023