6 citations · 6 across the 5 of their papers we have counts for
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cs.CV2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
Yiqi Lin, Huabin Zheng, Huaping Zhong +4
Recently, the self-supervised pre-training paradigm has shown great potential in leveraging large-scale unlabeled data to improve downstream task performance. However, increasing t…
cs.CV2022★ 6 cited
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
Yuhang Cao, Jiaqi Wang, Yiqi Lin +1
Learning from a few training samples is a desirable ability of an object detector, inspiring the explorations of Few-Shot Object Detection (FSOD). Most existing approaches employ a…
cs.CV2022
Exploring the Interactive Guidance for Unified and Effective Image Matting
Dinghao Yang, Bin Wang, Weijia Li +2
Recent image matting studies are developing towards proposing trimap-free or interactive methods for complete complex image matting tasks. Although avoiding the extensive labors of…