PDI-Net integrates physics-aware priors into a dual network that shares semi-reconstruction features with a YOLO detector, cutting inference time 84% while raising mAP 5% on low-SNR M3FD data.
Target- aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection,
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Dual-Integrated Low-Latency Single-Lens Infrared Computational Imaging for Object Detection
PDI-Net integrates physics-aware priors into a dual network that shares semi-reconstruction features with a YOLO detector, cutting inference time 84% while raising mAP 5% on low-SNR M3FD data.