Ingredient Prediction via Context Learning Network With Class-Adaptive Asymmetric Loss

Ingredient prediction has received more and more attention with the help of image processing for its diverse real-world applications, such as nutrition intake management and cafeteria self-checkout system. Existing approaches mainly focus on multi-task food category-ingredient joint learning to impr...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 29., Seite 5509-5523
1. Verfasser:	Luo, Mengjiang (VerfasserIn)
Weitere Verfasser:	Min, Weiqing, Wang, Zhiling, Song, Jiajun, Jiang, Shuqiang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2023
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article