Jan 11, 2022 · In this paper, we propose a novel Efficient Non-Local Contrastive Attention (ENLCA) to perform long-range visual modeling and leverage more ...
Efficient Non-Local Contrastive Attention for Image Super ... - GitHub
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In this paper, we propose a novel Efficient Non-Local Contrastive Attention (ENLCA) to perform long-range visual modeling and leverage more relevant non-local ...
Non-Local Attention (NLA) brings significant improvement for Single Image Super-Resolution (SISR) by leveraging intrinsic feature correlation in natural images.
In this paper, we propose a novel Efficient Non-Local Contrastive Attention (ENLCA) to perform long-range visual modeling and leverage more relevant non-local ...
A novel Non-Local Sparse Attention (NLSA) with dynamic sparse attention pattern is proposed, designed to retain long-range modeling capability from NL ...
Jan 11, 2022 · Non-Local Attention (NLA) brings significant improvement for Single Image Super-Resolution (SISR) by leveraging intrinsic feature ...
Mar 28, 2022 · His research interests include image super-resolution, biometrics, object detection, stereo vision and AI in medicine. Professor Yang has ...
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In this paper, we investigate their combinations and propose a novel Non-Local Sparse Attention (NLSA) with dynamic sparse attention pattern. NLSA is designed ...
Missing: Contrastive | Show results with:Contrastive
Jun 15, 2023 · To this end, we propose learnable nonlocal contrastive attention (LNLCA), which flexibly aggregates image features while maintaining linear ...
This paper proposes the first Cross-Scale Non-Local (CS-NL) attention module with integration into a recurrent neural network and can find more cross-scale ...