TL;DR
This paper proposes TDSF-Net, a target-driven sparse fusion network for real-time RGB-infrared weak small object detection, which follows an enhance-then-fuse paradigm and achieves state-of-the-art performance on the UAV-based DroneVehicle dataset.
Experimental results show that ZOS-Net achieves a favorable balance between detection performance and complexity on the M3FD, FLIR-aligned, and VEDAI datasets and provides a lightweight solution for RGB-T object detection on resource-constrained platforms.
Infrared small-target detection remains challenging due to the extremely small size of targets, low target-background contrast, and severe interference from complex backgrounds and noise. To address these issues, this paper proposes an efficient real-time detection framework, termed IADF-YOLO, based on the YOLO paradig...
CAF-YOLO, a Complementary Alignment and Fusion Object Detection Model based on YOLO11 improves UAV-based visual measurement reliability through three designs, and is effective in another aerial-view vehicle-detection scenario, supporting UAV-based visual measurement applications.
In infrared small target detection (IRSTD) tasks, small targets are challenging to distinguish due to their minute size, sparse pixels, and features that closely resemble complex background textures. Existing detection methods predominantly employ multi-layer downsampling to extract small target features directly from...
After dataset-specific training and evaluation on the markedly different TinyPerson benchmark, HSF-Net outperforms YOLOv11s by 5.2 percentage points in mAP50, indicating that its relative performance advantage persists under a substantially different target-scale distribution and maritime background.
Small-object detection under low illumination remains a persistent challenge in aerial surveillance, nighttime patrol, and safety-critical vision tasks, where single-modality sensors—RGB or infrared alone—provide degraded or incomplete target information. This paper proposes an RGB-T object detection network that combi...
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