Yongwei Jiang

2 accepted papers

2026

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection

Yongwei Jiang, Yixiong Zou, Yuhua Li, Ruixuan Li

CVPR 2026

Cross-domain few-shot object detection (CD-FSOD) aims to adapt pretrained detectors from a source domain to target domains with limited annotations, suffering from severe domain shifts and data scarcity problems. In this work, we find a previously overlooked phenomenon: models exhibit dispersed and

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2025

Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning

Yongwei Jiang, Yixiong Zou, Yuhua Li, Ruixuan Li

ICCV 2025poster

Few-Shot Class-Incremental Learning (FSCIL) faces dual challenges of data scarcity and incremental learning in real-world scenarios. While pool-based prompting methods have demonstrated success in traditional incremental learning, their effectiveness in FSCIL settings remains unexplored. This paper…

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