IEEE

FuDA-YOLO: Low-light Object Detection using Multi-scale Fusion Domain Adaptation

Abstract: Low-light Object Detection (LOD) is a significant research field in computer vision. In some application fields of automatic driving, security monitoring and so on, it has great value and ...
IEEE

Transformer Based Deep Learning Model For Object Detection Using Meta Learning

Abstract: Object detection is the identification and pinpointing of the exact location of objects that belong to particular categories inside an image. However, insufficient annotated data in ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...
techxplore

Lightweight framework enables faster, more accurate object detection for UAV remote sensing

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...