A channel-wise cross-modality entropy model with low-frequency context fusion improves joint RGB-IR image compression, achieving 23.1% bit rate savings over the previous state of the art on LLVIP.
Insanet: Intra-inter spectral attention network for effective feature fusion of multispectral pedestrian detection,
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End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model
A channel-wise cross-modality entropy model with low-frequency context fusion improves joint RGB-IR image compression, achieving 23.1% bit rate savings over the previous state of the art on LLVIP.