Introduction to 1152 Detecting Human Object Interaction With Mixed Supervision
Let's dive into the details surrounding 1152 Detecting Human Object Interaction With Mixed Supervision. 1152 - Detecting Human-Object Interaction with Mixed Supervision
1152 Detecting Human Object Interaction With Mixed Supervision Comprehensive Overview
Authors: Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng Description: We propose a single-stage Authors: Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun Description: ... Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng We study the problem of
1-minute presentation for our work titled "Many-shot from Low-shot: Learning to Annotate using
Summary & Highlights for 1152 Detecting Human Object Interaction With Mixed Supervision
- Efficient Two-Stage
- The CVPR2024 paper "Discovering Syntactic Interaction Clues for
- In CVPR 2021 (Oral Presentation)
- Authors: Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu Description:
- [CVPR 2023] Relational Context Learning for
That wraps up our extensive overview of 1152 Detecting Human Object Interaction With Mixed Supervision.