1 code implementation • 20 Mar 2024 • Yuxuan Zhou, Xingxing Li, Shengyu Li, Xuanbin Wang, Shaoquan Feng, Yuxuan Tan
Visual simultaneous localization and mapping (VSLAM) has broad applications, with state-of-the-art methods leveraging deep neural networks for better robustness and applicability.
no code implementations • 1 Apr 2022 • Ze Chen, Zhihang Fu, Jianqiang Huang, Mingyuan Tao, Shengyu Li, Rongxin Jiang, Xiang Tian, Yaowu Chen, Xian-Sheng Hua
The application of cross-dataset training in object detection tasks is complicated because the inconsistency in the category range across datasets transforms fully supervised learning into semi-supervised learning.