Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal

arXiv:2408.03734 · cs.CV · Submitted 2024-08-07 · Read on arXiv

cs.CV

Submitted: 2024-08-07

Updated: 2024-08-07

Comments: This work has been submitted to the IEEE for possible publication

Journal ref: IEEE Access, 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 18× in this paper · explained in 2 episodes
• Benchmarking — 11× in this paper · explained in 3 episodes
• Feature Extraction — 9× in this paper · explained in 2 episodes
• Shadow Removal Dataset — 9× in this paper
• Actor — 5× in this paper · explained in 3 episodes
• Intrinsic Dimensionality — 5× in this paper
• Soft-Hard Attention U-net — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Attention Mechanism — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Multiscale Shadow Removal Dataset — 3× in this paper
• Peak Signal-to-Noise Ratio — 3× in this paper
• Root Mean Square Error — 3× in this paper
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Latent Representation — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aperture — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Chinese University of Hong Kong — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• D Discrete Wavelet Transform — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Intrinsic Dimension — 1× in this paper · explained in 2 episodes
• Learning to Remove Soft Shadows — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Unreal Engine — 1× in this paper
• Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

• ShadowFormer: Global Context Helps Image Shadow Removal
• Striving for Simplicity: The All Convolutional Net
• Reflections on Shannon Information: In search of a natural information-entropy for images

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