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cs.CV2026
BLM-Guard: Explainable Multimodal Ad Moderation with Chain-of-Thought and Policy-Aligned Rewards
Yiran Yang, Zhaowei Liu, Yuan Yuan +10
Short-video platforms now host vast multimodal ads whose deceptive visuals, speech and subtitles demand finer-grained, policy-driven moderation than community safety filters. We pr…
cs.CV2023
Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels
Heng Huang, Xin Jin, Yaqi Liu +5
Now many mobile phones embed deep-learning models for evaluation or guidance on photography. These models cannot provide detailed results like human pose scores or scene color scor…
cs.CV2022★ 1 cited
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
Xin Jin, Hao Lou, Huang Heng +4
In the tasks of image aesthetic quality evaluation, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets. To re…