32 citations · 101 across the 11 of their papers we have counts for
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cs.CV2023★ 32 cited
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Ying Jin, Jiaqi Wang, Dahua Lin
Semi-Supervised Semantic Segmentation aims at training the segmentation model with limited labeled data and a large amount of unlabeled data. To effectively leverage the unlabeled…
cs.CV2023★ 6 cited
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
Dachuan Shi, Chaofan Tao, Ying Jin +3
Real-world data contains a vast amount of multimodal information, among which vision and language are the two most representative modalities. Moreover, increasingly heavier models,…