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cs.CV2025
FreqGRL: Suppressing Low-Frequency Bias and Mining High-Frequency Knowledge for Cross-Domain Few-Shot Learning
Siqi Hui, Sanping Zhou, Ye deng +2
Cross-domain few-shot learning (CD-FSL) aims to recognize novel classes with only a few labeled examples under significant domain shifts. While recent approaches leverage a limited…
cs.CV2025
Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
Mang Cao, Sanping Zhou, Yizhe Li +3
Sufficient cross-task interaction is crucial for success in multi-task dense prediction. However, sufficient interaction often results in high computational complexity, forcing exi…
cs.CR2025
Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack
Siqi Hui, Yiren Song, Sanping Zhou +3
Autoregressive (AR) image generation models have gained increasing attention for their breakthroughs in synthesis quality, highlighting the need for robust watermarking to prevent…