1 code implementation • ICCV 2023 • Kaihong Wang, Donghyun Kim, Rogerio Feris, Margrit Betke
While transformers have greatly boosted performance in semantic segmentation, domain adaptive transformers are not yet well explored.
1 code implementation • 27 Nov 2022 • Kaihong Wang, Donghyun Kim, Rogerio Feris, Kate Saenko, Margrit Betke
We propose to perform adaptation on attention maps with cross-domain attention layers that share features between the source and the target domains.
1 code implementation • 1 Apr 2022 • Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
In this paper, we investigate the problem of domain adaptive 2D pose estimation that transfers knowledge learned on a synthetic source domain to a target domain without supervision.
1 code implementation • 22 Mar 2022 • Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
In this paper, we provide a broad study and in-depth analysis of pre-training for domain adaptation and generalization, namely: network architectures, size, pre-training loss, and datasets.
1 code implementation • 15 Jan 2022 • Kaihong Wang, Kumar Akash, Teruhisa Misu
In this work, we propose a novel paradigm that regularizes the spatiotemporal consistency by synthesizing motions in input videos with the generated optical flow instead of estimating them.
no code implementations • 18 Sep 2020 • Kaihong Wang, Chenhongyi Yang, Margrit Betke
Unsupervised domain adaptation for semantic segmentation has been intensively studied due to the low cost of the pixel-level annotation for synthetic data.
1 code implementation • ECCV 2020 • Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
While visual object detection with deep learning has received much attention in the past decade, cases when heavy intra-class occlusions occur have not been studied thoroughly.
1 code implementation • 31 Aug 2019 • Kaihong Wang, Mona Jalal, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke
We also propose a scrape-by-keywords methodology and used it to scrape ~30, 000 images and their captions of 38 Kenyan food types.