Proposes the first light field-LiDAR semantic segmentation dataset and the Mlpfseg network, which improves mIoU by 1.71 over image-only and 2.38 over point-cloud-only baselines via feature completion and depth perception modules.
Pyramid scene parsing network
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DeepDetect trains ESPNet on fused classical detector masks to produce dense, repeatable keypoints that outperform prior methods on Oxford, HPatches, and Middlebury benchmarks.
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Geometry-Aware Cross Modal Alignment for Light Field-LiDAR Semantic Segmentation
Proposes the first light field-LiDAR semantic segmentation dataset and the Mlpfseg network, which improves mIoU by 1.71 over image-only and 2.38 over point-cloud-only baselines via feature completion and depth perception modules.
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DeepDetect: Learning All-in-One Dense Keypoints
DeepDetect trains ESPNet on fused classical detector masks to produce dense, repeatable keypoints that outperform prior methods on Oxford, HPatches, and Middlebury benchmarks.