Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...
Create a dedicated conda environment (Python 3.8) and install PyTorch + repo deps: conda create -n intermimic-gym python=3.8 conda activate intermimic-gym conda install pytorch torchvision torchaudio ...
Abstract: Tiny object detection in the field of remote sensing has always been a challenging and interesting topic. Despite many researchers working on this problem, it has not been well-solved due to ...
Hello everyone, thanks for your patience. HOSIG has now been accepted by AAAI 2026. Related code and data will be released gradually over the next three months. Please stay tuned. the output will be ...
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