Abstract: Recent studies have highlighted the importance of contextual information for small object detection. However, existing methods rely solely on visual features and lack additional semantic ...
Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...
Abstract: Few-shot object detection usually faces the challenge of imbalanced data distribution. The limited training data for novel classes not only leads to insufficient representation of support ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results