68 citations · 89 across the 10 of their papers we have counts for
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cs.CV2022★ 9 cited
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning
Dongwoo Park, Jong-Min Lee
Few-shot object detection (FSOD) aims to classify and detect few images of novel categories. Existing meta-learning methods insufficiently exploit features between support and quer…
cs.CV2022★ 3 cited
Self-Supervised Learning of Image Scale and Orientation
Jongmin Lee, Yoonwoo Jeong, Minsu Cho
We study the problem of learning to assign a characteristic pose, i.e., scale and orientation, for an image region of interest. Despite its apparent simplicity, the problem is non-…
cs.CV2022★ 2 cited
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Jongmin Lee, Byungjin Kim, Minsu Cho
Detecting robust keypoints from an image is an integral part of many computer vision problems, and the characteristic orientation and scale of keypoints play an important role for…