Enhancing Fisheye Object Detection Using Frequency-Domain Attention and Dual Aggregation Transformer
Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.
Abstract: UOT-FRCNN, an underwater object tracking system trained on the UOT32 dataset, is presented in this article. It is built on Faster R-CNN with ResNet-50 FPN. With minimal classification and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results