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As a key pixel-level analysis technology, semantic segmentation is widely deployed in autonomous driving and medical imaging. Fully supervised segmentation relies on labour-intensive pixel-wise annotations, so weakly supervised semantic segmentation (WSSS) with only image-level labels has attracted wide attention. Exis...
The proposed Progressive Multi-branch Distillation Attention Network (PMDAN), a lightweight SR framework based on a progressive dilated feature extraction strategy, achieves competitive reconstruction performance among recent lightweight SR methods.
Abstract. Semantic segmentation is widely regarded as one of the most advanced scene understanding techniques in remote sensing. Although monomodal segmentation models have advanced recently, the rich potential of multimodal data is still largely untapped. Current multimodal approaches are often rigid, typically limite...
RestoreGait is introduced, an end-to-end framework designed to actively recover occluded gait cues through a lightweight pseudo-3D spatiotemporal decoupled inpainting module that decouples spatial contour restoration from temporal motion aggregation, thereby effectively utilizing visible information across multiple fra...
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