DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection

In semi-supervised object detection (SSOD), the methods based on dense pseudo-labeling bypass complex post-processing while maintaining competitive performance compared to the methods based on sparse pseudo-labeling. However, there are still relatively few researches focused on the dense pseudo-labe...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Semi-supervised object detection object detection semi-supervised learning
Linkit:	https://ieeexplore.ieee.org/document/10818482/
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