A Two-Stage Multi-Scale Attention-Based Network for Weakly Supervised Cataract Fundus Image Enhancement

arXiv:2609.20222 · cs.CV · Submitted 2026-08-04 · Read on arXiv

cs.CV

Submitted: 2026-08-04

Updated: 2026-08-04

Code: https://github.com/linhandev/dataset

Terminology

• Loss Function — 7× in this paper · explained in 2 episodes
• Feature Extraction — 5× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Multi-scale Attention Network for Single Image Super-Resolution
• Adam: A Method for Stochastic Optimization

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