PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION
Summary
PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION is a scholarly article[1].
Key Facts
PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION. Retrieved May 24, 2026, from https://4ort.xyz/entity/pscnet-efficient-rgb-d-semantic-segmentation-parallel-network-based-on-spatial-and-channel-attention
MLA“PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pscnet-efficient-rgb-d-semantic-segmentation-parallel-network-based-on-spatial-and-channel-attention.
BibTeX@misc{4ortxyz_pscnet-efficient-rgb-d-semantic-segmentation-parallel-network-based-on-spatial-and-channel-attention_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION}}, year = {2026}, url = {https://4ort.xyz/entity/pscnet-efficient-rgb-d-semantic-segmentation-parallel-network-based-on-spatial-and-channel-attention}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION — https://4ort.xyz/entity/pscnet-efficient-rgb-d-semantic-segmentation-parallel-network-based-on-spatial-and-channel-attention (retrieved 2026-05-24)
