GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention
Summary
GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention is a scholarly article[1].
Key Facts
GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/gourmetnet-food-segmentation-using-multi-scale-waterfall-features-with-spatial-and-channel-attention
MLA“GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gourmetnet-food-segmentation-using-multi-scale-waterfall-features-with-spatial-and-channel-attention.
BibTeX@misc{4ortxyz_gourmetnet-food-segmentation-using-multi-scale-waterfall-features-with-spatial-and-channel-attention_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention}}, year = {2026}, url = {https://4ort.xyz/entity/gourmetnet-food-segmentation-using-multi-scale-waterfall-features-with-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): GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention — https://4ort.xyz/entity/gourmetnet-food-segmentation-using-multi-scale-waterfall-features-with-spatial-and-channel-attention (retrieved 2026-05-24)
