Deep Learning

DSTI-Net: A Dynamic Spatial–Temporal Interaction Network With Semantic Guidance for 2-D and 3-D Change Detection

This paper proposes DSTI-Net, a multitask framework integrating SAM-based semantic guidance and dynamic spatial-temporal interaction for joint 2-D and 3-D change detection from …

tengxi-wang

• Mar 2, 2026 • 1 min read

Point Cloud Semantic Segmentation

Point and voxel cross perception with lightweight cosformer for large-scale point cloud semantic segmentation

This paper proposes PVCFormer, a cross-attention architecture combining point and voxel representations with CosFormer for efficient large-scale outdoor point cloud semantic …

Dr. Shuai Zhang

• Jun 14, 2024 • 2 min read

Point Cloud Semantic Segmentation

SPDC: A Super-Point and Point Combining Based Dual-Scale Contrastive Learning Network for Point Cloud Semantic Segmentation

This paper proposes SPDC, a dual-scale contrastive learning network combining super-point and point-level features for self-supervised point cloud semantic segmentation, achieving …

Dr. Shuai Zhang

• May 24, 2023 • 1 min read

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Deep Learning

DSTI-Net: A Dynamic Spatial–Temporal Interaction Network With Semantic Guidance for 2-D and 3-D Change Detection

Point and voxel cross perception with lightweight cosformer for large-scale point cloud semantic segmentation

SPDC: A Super-Point and Point Combining Based Dual-Scale Contrastive Learning Network for Point Cloud Semantic Segmentation