4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Multi-Label Self-Supervised Learning with Scene Images
Ke Zhu, Minghao Fu, Jianxin Wu
Self-supervised learning (SSL) methods targeting scene images have seen a rapid growth recently, and they mostly rely on either a dedicated dense matching mechanism or a costly uns…
cs.CV2023
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images
Ke Zhu, Yin-Yin He, Jianxin Wu
Most self-supervised learning (SSL) methods often work on curated datasets where the object-centric assumption holds. This assumption breaks down in uncurated images. Existing scen…
cs.CV2021★ 4 cited
Salvage of Supervision in Weakly Supervised Object Detection
Lin Sui, Chen-Lin Zhang, Jianxin Wu
Weakly supervised object detection~(WSOD) has recently attracted much attention. However, the lack of bounding-box supervision makes its accuracy much lower than fully supervised o…