Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection


Nov 16, 2022
Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh

* Presented at NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization


Oct 17, 2022
Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MEDFAIR: Benchmarking Fairness for Medical Imaging


Oct 04, 2022
Yongshuo Zong, Yongxin Yang, Timothy Hospedales


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards 3D VR-Sketch to 3D Shape Retrieval


Sep 20, 2022
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song

* 2020 International Conference on 3D Vision (3DV), pp. 81-90. IEEE, 2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fine-Grained VR Sketching: Dataset and Insights


Sep 20, 2022
Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song

* 2021 International Conference on 3D Vision (3DV), pp. 1003-1013. IEEE, 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection


Jun 26, 2022
Xiongjie Chen, Yunpeng Li, Yongxin Yang

* Accepted to the ICML 2022 workshop on distribution-free uncertainty quantification (DFUQ), 11 pages, 3 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Long-tail Recognition via Compositional Knowledge Transfer


Dec 13, 2021
Sarah Parisot, Pedro M. Esperanca, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Domain Attention Consistency for Multi-Source Domain Adaptation


Nov 06, 2021
Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang

* Accepted to BMVC 2021 as oral presentation 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MixStyle Neural Networks for Domain Generalization and Adaptation


Jul 05, 2021
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

* Extension of https://openreview.net/forum?id=6xHJ37MVxxp. Code available at https://github.com/KaiyangZhou/mixstyle-release 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization


Jun 19, 2021
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
7
>>