CEAFFOD: Cross-Ensemble Attention-based Feature Fusion Architecture Towards a Robust and Real-time UAV-based Object Detection in Complex Scenarios.
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA（2023）
Key words
captured visual data,connected MDACSP block features,cross-ensemble attention-based feature fusion architecture,cross-ensembling,diverse complex scenarios,embedded devices,feature maps,FFSPP block features,fusion spatial pyramid pooling block,inference time,low embedded resources,multidilated attention-based cross-stage partial connection block,novel single-stage detection architecture,object detector,objects,producing per-channel modulation weights,qualitatively the model robustness,receptive field,robust result,scaled feature fusion head,subsequent frames,UAV-based perception,unmanned aerial vehicles,YOLO architecture
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