Timezone: »
We propose a simple but effective source-free domain adaptation (SFDA) method. Treating SFDA as an unsupervised clustering problem and following the intuition that local neighbors in feature space should have more similar predictions than other features, we propose to optimize an objective of prediction consistency. This objective encourages local neighborhood features in feature space to have similar predictions while features farther away in feature space have dissimilar predictions, leading to efficient feature clustering and cluster assignment simultaneously. For efficient training, we seek to optimize an upper-bound of the objective resulting in two simple terms. Furthermore, we relate popular existing methods in domain adaptation, source-free domain adaptation and contrastive learning via the perspective of discriminability and diversity. The experimental results prove the superiority of our method, and our method can be adopted as a simple but strong baseline for future research in SFDA. Our method can be also adapted to source-free open-set and partial-set DA which further shows the generalization ability of our method. Code is available in https://github.com/Albert0147/AaD_SFDA.
Author Information
Shiqi Yang (Computer Vision Center Barcelona)
Edifici O campus UAB ESQ5856375J
yaxing wang (Centre de Visió per Computador (CVC))
kai wang (Computer Vision Center, UAB)
Shangling Jui (Huawei)
Dr. Jui is the chief AI scientist of Huawei Kirin team. His knowledge on AI and reinforcement learning has guided the team to build the eco-system of Kirin platform. He support decisions and investment of AI to Canadian universities including UBC, SFU, UofToronto, UofAlberta, UofWaterloo, etc., through joint lab collaborations and local Huawei offices.
Joost van de Weijer (Computer Vision Center Barcelona)
Related Events (a corresponding poster, oral, or spotlight)
-
2022 Poster: Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation »
Tue. Nov 29th 05:00 -- 07:00 PM Room Hall J #127
More from the Same Authors
-
2022 Workshop: Vision Transformers: Theory and applications »
Fahad Shahbaz Khan · Gul Varol · Salman Khan · Ping Luo · Rao Anwer · Ashish Vaswani · Hisham Cholakkal · Niki Parmar · Joost van de Weijer · Mubarak Shah -
2022 Spotlight: Lightning Talks 1B-4 »
Andrei Atanov · Shiqi Yang · Wanshan Li · Yongchang Hao · Ziquan Liu · Jiaxin Shi · Anton Plaksin · Jiaxiang Chen · Ziqi Pan · yaxing wang · Yuxin Liu · Stepan Martyanov · Alessandro Rinaldo · Yuhao Zhou · Li Niu · Qingyuan Yang · Andrei Filatov · Yi Xu · Liqing Zhang · Lili Mou · Ruomin Huang · Teresa Yeo · kai wang · Daren Wang · Jessica Hwang · Yuanhong Xu · Qi Qian · Hu Ding · Michalis Titsias · Shangling Jui · Ajay Sohmshetty · Lester Mackey · Joost van de Weijer · Hao Li · Amir Zamir · Xiangyang Ji · Antoni Chan · Rong Jin -
2021 Poster: Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization »
Ke Sun · Yafei Wang · Yi Liu · yingnan zhao · Bo Pan · Shangling Jui · Bei Jiang · Linglong Kong -
2021 Poster: Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation »
Shiqi Yang · yaxing wang · Joost van de Weijer · Luis Herranz · Shangling Jui -
2020 Poster: DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs »
yaxing wang · Lu Yu · Joost van de Weijer -
2020 Poster: RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning »
Riccardo Del Chiaro · Bartłomiej Twardowski · Andrew Bagdanov · Joost van de Weijer -
2019 : Coffee + Posters »
Benjamin Caine · Renhao Wang · Nazmus Sakib · Nana Otawara · Meha Kaushik · elmira amirloo · Nemanja Djuric · Johanna Rock · Tanmay Agarwal · Angelos Filos · Panagiotis Tigkas · Donsuk Lee · Wootae Jeon · Nikita Jaipuria · Pin Wang · Jinxin Zhao · Liangjun Zhang · Ashutosh Singh · Ershad Banijamali · Mohsen Rohani · Aman Sinha · Ameya Joshi · Ching-Yao Chan · Mohammed Abdou · Changhao Chen · Jong-Chan Kim · eslam mohamed · Matt OKelly · Nirvan Singhania · Hiroshi Tsukahara · Atsushi Keyaki · Praveen Palanisamy · Justin Norden · Micol Marchetti-Bowick · Yiming Gu · Hitesh Arora · Shubhankar Deshpande · Jeff Schneider · Shangling Jui · Vaneet Aggarwal · Tryambak Gangopadhyay · Qiaojing Yan -
2018 Poster: Image-to-image translation for cross-domain disentanglement »
Abel Gonzalez-Garcia · Joost van de Weijer · Yoshua Bengio -
2018 Poster: Memory Replay GANs: Learning to Generate New Categories without Forgetting »
Chenshen Wu · Luis Herranz · Xialei Liu · yaxing wang · Joost van de Weijer · Bogdan Raducanu -
2011 Poster: Portmanteau Vocabularies for Multi-Cue Image Representation »
Fahad S Khan · Joost van de Weijer · Andrew D Bagdanov · Maria Vanrell