UniFa: A unified feature hallucination framework for any-shot object detection

Published: 01 Jan 2025, Last Modified: 09 Apr 2025Pattern Recognit. Lett. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Employ generative techniques to address the any-shot object detection task.•Enhance visual features via visual-aware semantic information.•Design a feature enhancer to construct a more realistic feature distribution.•Reduce skewed predictions using a zero-shot class discriminator.•Achieves the new SoTA performance in any-shot object detection.
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