WebAug 17, 2024 · TOOD: Task-aligned One-stage Object Detection. One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to a certain level of spatial misalignment in predictions between the two tasks. In this work, we propose a … Web[10] Cheng G., et al., Dual-aligned oriented detector, IEEE Trans. Geosci. Remote Sens. 60 (2024 ... A Hybrid Detector for Object Detection in Drone-Captured Images,” presented at the IEEE International Conference on Computer Vision Workshops, Seoul, South Korea, 2024. Google Scholar [170] Chen Y., et al., Stitcher: feedback-driven data ...
Small-Object Detection based on YOLOv5 in Autonomous
WebCheng “Dual-aligned oriented detector ” IEEE Trans. Geosci. Remote Sens. vol. 60 pp. 1–11 2024. 5. J. Chen J. Zhu Y. Guo G. Sun Y. Zhang and M. Deng “Unsupervised domain adaptation for semantic segmentation of high-resolution remote sensing imagery driven by category-certainty attention ” IEEE Trans. Geosci. WebAug 28, 2024 · Rotating object detection has recently attracted increasing attention in aerial photographs, remote sensing images, etc. In this paper, we propose a rotating object … hot roots from toner
Yanqing Yao
WebDual-Aligned Oriented Detector. Article. Jan 2024; Gong Cheng; Yanqing Yao; ... Nowadays, oriented detectors mostly use horizontal boxes as intermedium to derive oriented boxes from them. However ... WebFeb 22, 2024 · To predict oriented bounding boxes (OBBs) for aerial targets while testing images end-to-end without proposals, WSODet is designed leveraging on layerwise relevance propagation (LRP) and point set representation (RepPoints). WebFeb 7, 2024 · Dual-Aligned Oriented Detector. Abstract: In the past few years, object detection in remote sensing images has achieved remarkable progress. However, the detection of oriented and densely packed objects are still unsatisfactory due to the … linear regression checks