DETR: End-to-End Object Detection with Transformers | Paper Explained

Summary In this lecture, Aleksa Gordić explains DETR, an end-to-end object detection pipeline using transformers, highlighting the use of Hungarian matching and loss to train the system. The video covers the main ideas, architecture, matching loss, results, ablations, and additional applications such as panoptic segmentation.