Exploring the spectral prior for hyperspectral image super-resolution
In recent years, many single hyperspectral image super-resolution methods have emerged
to enhance the spatial resolution of hyperspectral images without hardware modification …
to enhance the spatial resolution of hyperspectral images without hardware modification …
Progressive Multi-Iteration Registration-Fusion Co-Optimization Network for Unregistered Hyperspectral Image Super-Resolution
Existing fusion-based hyperspectral image super-resolution (fusion-based HSI-SR) methods
usually reconstruct high-resolution hyperspectral image (HR-HSI) by integrating the …
usually reconstruct high-resolution hyperspectral image (HR-HSI) by integrating the …
Multi-view contextual adaptation network for weakly supervised object detection in remote sensing images
Weakly supervised learning plays a pivotal role in the field of object detection, ie. Weakly
supervised object detection (WSOD), significantly reducing annotation costs relying on …
supervised object detection (WSOD), significantly reducing annotation costs relying on …
Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis via Frequency Information Embedding
In the fast-evolving field of medical image analysis, Deep Learning (DL)-based methods
have achieved tremendous success. However, these methods require plaintext data for …
have achieved tremendous success. However, these methods require plaintext data for …