Deformable DETR: Deformable Transformers for End-to-End Object Detection To mitigate these issues, we proposed Deformable DETR, whose attention modules only attend to a small set of key sampling points around a reference Deformable DETR can achieve better performance than DETR (especially on small objects) with 10 times less training epochs
Deformable DETR: Deformable Transformers for End-to-End Object Detection One-sentence Summary: Deformable DETR is an efficient and fast-converging end-to-end object detector It mitigates the high complexity and slow convergence issues of DETR via a novel sampling-based efficient attention mechanism
Deformable DETR: Deformable Transformers for End-to-End Object Detection Detection Transformer (DETR) and Deformable DETR have been proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance as previous complex hand-crafted detectors