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). TCNet: Multiscale Fusion of Transformer and CNN for Semantic Segmentation of Remote Sensing Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/tcnet-multiscale-fusion-of-transformer-and-cnn-for-semantic-segmentation-of-remote-sensing-images
MLA“TCNet: Multiscale Fusion of Transformer and CNN for Semantic Segmentation of Remote Sensing Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tcnet-multiscale-fusion-of-transformer-and-cnn-for-semantic-segmentation-of-remote-sensing-images.
BibTeX@misc{4ortxyz_tcnet-multiscale-fusion-of-transformer-and-cnn-for-semantic-segmentation-of-remote-sensing-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TCNet: Multiscale Fusion of Transformer and CNN for Semantic Segmentation of Remote Sensing Images}}, year = {2026}, url = {https://4ort.xyz/entity/tcnet-multiscale-fusion-of-transformer-and-cnn-for-semantic-segmentation-of-remote-sensing-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TCNet: Multiscale Fusion of Transformer and CNN for Semantic Segmentation of Remote Sensing Images — https://4ort.xyz/entity/tcnet-multiscale-fusion-of-transformer-and-cnn-for-semantic-segmentation-of-remote-sensing-images (retrieved 2026-05-24)