XS-VID: A Large-Scale Benchmark for Small Object Detection and Tracking in Videos
The XS-VID dataset was created to solve limitations in small video object detection by offering comprehensive coverage of various small object sizes and scene types. YOLOFT is a novel method that improves detection accuracy and stability by combining YOLOv8 with optical flow to enhance local features and integrate temporal motion information from objects.