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This paper presents an anchor-free multispectral pedestrian detection method that combines visual-optical and thermal infrared images to enhance detection performance, particularly in challenging conditions. The proposed approach simplifies the network architecture by focusing on object center and scale rather than bounding box predictions, achieving a significant improvement in detection rates on the KAIST Multispectral Pedestrian Detection Benchmark. Additionally, the authors introduce novel data augmenta

Author

lissanunnes2013

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EN