Abstract: In the past decade, object detection technology has developed rapidly. However, in the field of unmanned aerial vehicle (UAV) image object detection, challenges such as complex environments, ...
This project is an object detection and counting system designed to track and count objects (e.g., gunny bags) in a video using the YOLO (You Only Look Once) model. The system processes video frames, ...
Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...
Abstract: Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges ...
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