1 code implementation • 29 Nov 2023 • Jang Hyun Cho, Philipp Krähenbühl
We use this detector to pseudo-label images with image-level labels.
1 code implementation • 23 Jan 2023 • Jang Hyun Cho, Philipp Krähenbühl
Large-scale object detection and instance segmentation face a severe data imbalance.
1 code implementation • CVPR 2023 • Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan
PartDistillation transfers the part information of an instance segmentation model into a part segmentation model through self-supervised self-training on a large dataset.
1 code implementation • 12 Dec 2022 • Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl
Our detector that trains Deformable-DETR with traditional IoU-based label assignment achieved 50. 2 COCO mAP within 12 epochs (1x schedule) with ResNet50 backbone, outperforming all existing traditional or transformer-based detectors in this setting.
Ranked #2 on Object Detection on COCO-O (using extra training data)
2 code implementations • CVPR 2021 • Jang Hyun Cho, Utkarsh Mall, Kavita Bala, Bharath Hariharan
With our novel learning objective, our framework can learn high-level semantic concepts.
Ranked #3 on Unsupervised Semantic Segmentation on COCO-Stuff-171
no code implementations • ICCV 2019 • Jang Hyun Cho, Bharath Hariharan
In this paper, we present a thorough evaluation of the efficacy of knowledge distillation and its dependence on student and teacher architectures.