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cs.CV2024
X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation
Yuchen Yang, Xuanyi Liu, Xing Gao +2
Recent unsupervised methods for monocular 3D pose estimation have endeavored to reduce dependence on limited annotated 3D data, but most are solely formulated in 2D space, overlook…
cs.CV2023★ 1 cited
Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector
Xuanyi Liu, Zhongqi Yue, Xian-Sheng Hua
Open World Object Detection (OWOD) combines open-set object detection with incremental learning capabilities to handle the challenge of the open and dynamic visual world. Existing…