CAMSNet: Few-Shot Semantic Segmentation via Class Activation Map and Self-Cross Attention Block
Source abstract
Abstract
The key to the success of few-shot semantic segmentation (FSS) depends on the efficient use of limited annotated support set to accurately segment novel classes in the query set. Due to the few samples in the support set, FSS... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Domain Adaptation and Few-Shot Learning · Advanced Neural Network Applications · Handwritten Text Recognition Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (49)
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