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Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation vs Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
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Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation
Efficient RGB-D semantic segmentation has received considerable attention in mobile robots, which plays a vital role in analyzing and recognizing environmental information.
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AI Tool
Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
Recent leading zero-shot video object segmentation (ZVOS) works devote to integrating appearance and motion information by elaborately designing feature fusion modules and identically applying them in multiple feature stages.
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Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation vs Wax & Pigment
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