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Showing papers from Huazhong University ofscience and Technology Show all papers

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Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

Zidan Wang, Yaqian Li, xiaokai zhang, Kun He and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining

ITO improves image-text pretraining via multi-view cross-modal alignment and discarded training-time fusion, beating CLIP at 100M-1B scale on classification and retrieval.

Hanpeng Liu, Yaqian Li, Zidan Wang, Shuoxi Zhang and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5