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iffDetector: Inference-Aware Feature Filtering for Object Detection

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

iffDetector: Inference-Aware Feature Filtering for Object Detection

Mingyuan Mao et al.

Summary: The study introduces a new feature optimization approach to enhance features and suppress background noise during both training and inference stages, utilizing a generic inference-aware feature filtering (IFF) module to achieve closed-loop feature optimization. Experimental results show that this method consistently outperforms state-of-the-art approaches on the PASCAL VOC and MS COCO datasets.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence