19 citations · 54 across the 13 of their papers we have counts for
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cs.CV2022
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision
Danna Xue, Fei Yang, Pei Wang +4
Accurate semantic segmentation models typically require significant computational resources, inhibiting their use in practical applications. Recent works rely on well-crafted light…
cs.LG2022★ 4 cited
Learning Distinctive Margin toward Active Domain Adaptation
Ming Xie, Yuxi Li, Yabiao Wang +6
Despite plenty of efforts focusing on improving the domain adaptation ability (DA) under unsupervised or few-shot semi-supervised settings, recently the solution of active learning…
cs.CV2022★ 2 cited
Omni-DETR: Omni-Supervised Object Detection with Transformers
Pei Wang, Zhaowei Cai, Hao Yang +4
We consider the problem of omni-supervised object detection, which can use unlabeled, fully labeled and weakly labeled annotations, such as image tags, counts, points, etc., for ob…