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Jun 24, 2023 · The semantic tag redetection module is designed to address inconsistencies between object tracking and emantic detection, even with the ensemble ...
Jun 14, 2023 · To address the lack of semantic information, an object tracking approach based on an ensemble semantic‐aware network and redetection (ESART) is ...
To address the lack of semantic information, an object tracking approach based on an ensemble semantic‐aware network and redetection (ESART) is proposed.
Robust object tracking via ensembling semantic‐aware network and redetection. Authors. Liu, Peiqiang; Liang, Qifeng; An, Zhiyong; Fu, Jingyi; Mao, Yanyan.
Peiqiang Liu, Qifeng Liang, Zhiyong An , Jingyi Fu, Yanyan Mao: Robust object tracking via ensembling semantic-aware network and redetection. IET Comput.
Robust object tracking via ensembling semantic‐aware network and redetection. Abstract Most Siamese‐based trackers use classification and regression to ...
Architecture of tracking via ensembling semantic‐aware network and redetection. BBrpn denotes the tracking bounding box, BBfpn denotes the detector semantic ...
Robust object tracking via ensembling semantic-aware network and redetection. ... Real-time vehicle detection using segmentation-based detection network ...
Convolutional neural networks are potent models that yield hierarchies of features and have drawn increasing interest in the visual tracking field.
This work proposes a novel object semantic-guided graph attention feature fusion network that both removes background information and focuses on the ...
Missing: redetection. | Show results with:redetection.