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cs.CV2025
Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
Jin Wang, Bingfeng Zhang, Jian Pang +3
Few-shot segmentation (FSS) aims to segment novel classes under the guidance of limited support samples by a meta-learning paradigm. Existing methods mainly mine references from su…
cs.CV2025
Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
Jin Wang, Bingfeng Zhang, Jian Pang +3
Few-shot segmentation has garnered significant attention. Many recent approaches attempt to introduce the Segment Anything Model (SAM) to handle this task. With the strong generali…
cs.CV2025
A Training-free Synthetic Data Selection Method for Semantic Segmentation
Hao Tang, Siyue Yu, Jian Pang +1
Training semantic segmenter with synthetic data has been attracting great attention due to its easy accessibility and huge quantities. Most previous methods focused on producing la…