Abstract: Open-world class-agnostic object detection aims to localize all objects in images regardless of whether their categories are known during training. Most existing studies focus on unannotated ...
This is the official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions. Authors: Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia. Install PyTorch and torch vision. We ...
Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...
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