Jun 27, 2023 · Specifically, a new four-branch feature relation learning strategy is proposed, which reasonably combines multiple feature relation learning to ...
Extensive experimental results show that the proposed EFR-Net achieves excellent performance on cross-spectral image patch matching. (OS patch dataset, VIS-NIR ...
Recently, cross-spectral image patch matching methods based on feature difference aggregation have achieved excellent performance, but they introduce a ...
Mar 18, 2024 · In addition, combined with the MGLA module, an efficient ALFE network for cross-spectral image patches is constructed and used. In the feature ...
Feature Interaction Learning Network for Cross-Spectral Image Patch ...
pubmed.ncbi.nlm.nih.gov › ...
Extensive experiments show that the proposed FIL-Net achieves state-of-the-art performance in three different cross-spectral image patch matching scenarios.
Sep 13, 2023 · Extensive experiments show that the proposed FIL-Net achieves state-of-the-art performance in three different cross-spectral image patch ...
Efficient Feature Relation Learning Network for Cross-Spectral Image Patch Matching · AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image ...
IEEE Transactions on Image Processing, 2023. 7, 2023. Efficient feature relation learning network for cross-spectral image patch matching. C Yu, J Zhao, Y Liu ...
To tackle the cross-spectral image patch matching prob- lem, we propose an aggregated feature difference learning network (AFD-Net), as shown in Fig. 2. AFD-Net ...
Missing: Relation | Show results with:Relation
Experimental results demonstrate that our proposal achieves superior performances on cross-spectral image patch matching and single spectral image patch ...
Missing: Efficient | Show results with:Efficient