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Junao Shen

2 accepted papers

2025

In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images

AAAI 2025technical

Remote sensing images (RSIs) are frequently characterized by multi-scale inter-class objects and inconsistently distributed objects due to scene limitations, which would cause a significant data imbalance challenging the corresponding semantic segmentation. Recent methods have leveraged various deep…

Cited by 0SourcePDFScholar
2024

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

AAAI 2024technical

Few-shot semantic segmentation (FSS) aims to segment unseen objects in a query image using a few pixel-wise annotated support images, thus expanding the capabilities of semantic segmentation. The main challenge lies in extracting sufficient information from the limited support images to guide the se…

Cited by 2SourcePDFScholar