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cs.CV2026
Do Vision Transformers Need All-to-All Attention? Global Communication Through Elastic Learned Cores
Alan Z. Song, Yinjie Chen, Mu Nan +8
Vision Transformers (ViTs) learn rich visual-semantic representations through all-to-all self-attention among patch tokens. However, this design implicitly assumes that direct pair…
cs.CV2025
DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement
Chang Huang, Jiahang Cao, Jun Ma +4
Underwater images typically suffer from severe colour distortions, low visibility, and reduced structural clarity due to complex optical effects such as scattering and absorption,…