deformable-detr-box-supervised

Papers using or citing this model 2

• Deformable DETR: Deformable Transformers for End-to-End Object Detection 8.6K citations · 2020 · arXiv (Cornell University) · arXiv

  DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance. However, it suffers from slow convergence and limited feature spatial resolution, due to...

• Detecting Twenty-thousand Classes using Image-level Supervision 949 citations · 2022 · European Conference on Computer Vision · arXiv

  Current object detectors are limited in vocabulary size due to the small scale of detection datasets. Image classifiers, on the other hand, reason about much larger vocabularies, as their datasets are larger and easier to collect. We...