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pro vyhledávání: '"Lu, Yichong"'
Cloth-Changing Person Re-Identification (CC-ReID) is a common and realistic problem since fashion constantly changes over time and people's aesthetic preferences are not set in stone. While most existing cloth-changing ReID methods focus on learning
Externí odkaz:
http://arxiv.org/abs/2310.18438
Autor:
Fu, Xiao, Zhang, Shangzhan, Chen, Tianrun, Lu, Yichong, Zhou, Xiaowei, Geiger, Andreas, Liao, Yiyi
Training perception systems for self-driving cars requires substantial annotations. However, manual labeling in 2D images is highly labor-intensive. While existing datasets provide rich annotations for pre-recorded sequences, they fall short in label
Externí odkaz:
http://arxiv.org/abs/2309.10815
Autor:
Fu, Xiao, Zhang, Shangzhan, Chen, Tianrun, Lu, Yichong, Zhu, Lanyun, Zhou, Xiaowei, Geiger, Andreas, Liao, Yiyi
Large-scale training data with high-quality annotations is critical for training semantic and instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive and costly, raising the demand for more efficient labeling strategies.
Externí odkaz:
http://arxiv.org/abs/2203.15224