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This course explains DETR, an end-to-end object detection pipeline that uses a transformer encoder-decoder and Hungarian bipartite matching loss to produce unique predictions without non-maximum suppression. It also reviews architecture details, ablations, visualizations, and an extension to panoptic segmentation.
