Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix ...

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 ...

Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...