activity
20192026
most citedBlockwisely Supervised Neural Architecture Search with Knowledge Distillation

26 citations · 75 across the 25 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling

Xuwei Xu, Changlin Li, Yudong Chen +3

Vision Transformers (ViTs) have demonstrated outstanding performance in computer vision tasks, yet their high computational complexity prevents their deployment in computing resour…

cs.CL2023

Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification

Xueyi Liu, Rui Hou, Yanglei Gan +4

Aspect-based sentiment classification is a crucial problem in fine-grained sentiment analysis, which aims to predict the sentiment polarity of the given aspect according to its con…

cs.CV2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training

Xinchi Deng, Han Shi, Runhui Huang +7

Cross-modal pre-training has shown impressive performance on a wide range of downstream tasks, benefiting from massive image-text pairs collected from the Internet. In practice, on…

cs.CV2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation

Kaixin Cai, Pengzhen Ren, Yi Zhu +5

Recently, semantic segmentation models trained with image-level text supervision have shown promising results in challenging open-world scenarios. However, these models still face…

cs.CV2023★ 16 cited

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency

Pengzhen Ren, Changlin Li, Hang Xu +5

Recently, great success has been made in learning visual representations from text supervision, facilitating the emergence of text-supervised semantic segmentation. However, existi…