The Annotated Transformer is created using jupytext. Regular notebooks pose problems for source control - cell outputs end up in the repo history and diffs between commits are difficult to examine.
01 End-to-End Object Detection with Transformers DETR COCO2017 在指定数据集上，DETR-R50: mAP >= 42.0; DETR-DC5-R50: mAP>=43.3 02 DEFORMABLE DETR: DEFORMABLE TRANSFORMERS FOR END-TO-END OBJECT DETECTION ...
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