Special Issue on The Promises and Dangers of Large Vision Models
ISSN:
0920-5691 (Print)
1573-1405 (Online)
In this topical collection (12 articles)
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OriginalPaper
Task Bias in Contrastive Vision-Language Models
Sachit Menon, Ishaan Preetam Chandratreya… Pages 1-15 -
OriginalPaper
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Xiang Wang, Shiwei Zhang, Jun Cen, Changxin Gao… Pages 1-14 -
OriginalPaper
Context Autoencoder for Self-supervised Representation Learning
Xiaokang Chen, Mingyu Ding, Xiaodi Wang… Pages 208-223 -
OriginalPaper
Exploring Vision-Language Models for Imbalanced Learning
Yidong Wang, Zhuohao Yu, Jindong Wang… Pages 224-237 -
OriginalPaper
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
Yifei Ming, Yixuan Li Pages 596-609 -
OriginalPaper
Are Vision Transformers Robust to Spurious Correlations?
Soumya Suvra Ghosal, Yixuan Li Pages 689-709 -
OriginalPaper
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao, Pichao Wang, Yuyang Zhao… Pages 731-749 -
OriginalPaper
Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking
Peng Gao, Ziyi Lin, Renrui Zhang, Rongyao Fang… Pages 1546-1556
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