Program

ACCEPTED PAPERS

  • Class-imbalanced Domain Adaptation: An Empirical Odyssey. Shuhan Tan, Xingchao Peng, Kate Saenko

  • Sequential Learning for Domain Generalization. Da Li, Yongxin Yang, Yi-Zhe Song, Timothy Hospedales

  • Generating Visual and Semantic Explanations with Multi-task Network. Wenjia Xu, Jiuniu Wang, Yang Wang, Yirong Wu, Zeynep Akata

  • SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni

  • Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. Yannick Le Cacheux, Herve Le Borgne, Michel Crucianu

  • Adversarial Transfer of Pose Estimation Regression. Boris Chidlovskii, Assem Sadek

  • Disentangled Image Generation for Unsupervised Domain Adaptation. Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto

  • Domain Generalization using Shape Representation. Narges Honarvar Nazari, Adriana Kovashka

  • Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. Zhen Zhao, Yuhong Guo, Jieping Ye

  • Bayesian Zero-Shot Learning. Sarkhan Badirli, Zeynep Akata, Murat Dundar

  • Self-Supervision for 3D Real-World Challenges. Antonio Alliegro, Davide Boscaini, Tatiana Tommasi

  • Diversified Mutual Learning for Deep Metric Learning. Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho

  • Domain Generalization vs Data Augmentation: an unbiased perspective. Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi

ACCEPTED 'ONGOING' WORKS

  • Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman

  • Multi-Task Incremental Learning for Object Detection. Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

  • Bookworm continual learning: beyond zero-shot learning and continual learning. Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer


The Best Paper Award will be announced during the last Live Workhsop Session.

Schedule

Session 1: Sunday 23 August - 10:00 - 12:00 UTC+1 Session 2: Sunday 23 August - 20:00 - 22:00 UTC+1

TASK-CV 2020