Rich Embedding Features for One-Shot Semantic Segmentation

• Published in: IEEE transaction on neural networks and learning systems Vol. 33; no. 11; pp. 6484 - 6493
• Main Authors: Zhang, Xiaolin, Wei, Yunchao, Li, Zhao, Yan, Chenggang, Yang, Yi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer applications; Context; Deep learning; Embedding; Feature extraction; few shot segmentation; Image segmentation; object segmentation; Pattern analysis; Prototypes; Pulse modulation; Semantic segmentation; Semantics; Siamese network; Support vector machines; Task analysis; Visual discrimination learning

One-shot semantic segmentation poses the challenging task of segmenting object regions from unseen categories with only one annotated example as guidance. Thus, how to effectively construct robust feature representations from the guidance image is crucial to the success of one-shot semantic segmenta...