1 code implementation • 14 Jul 2022 • Ho Kei Cheng, Alexander G. Schwing
We present XMem, a video object segmentation architecture for long videos with unified feature memory stores inspired by the Atkinson-Shiffrin memory model.
Ranked #1 on Semi-Supervised Video Object Segmentation on YouTube-VOS 2019 (using extra training data)
3 code implementations • NeurIPS 2021 • Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation.
Ranked #5 on Semi-Supervised Video Object Segmentation on MOSE
Semantic Segmentation Semi-Supervised Video Object Segmentation +1
5 code implementations • CVPR 2021 • Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance.
Ranked #1 on Interactive Video Object Segmentation on DAVIS 2017 (using extra training data)
Interactive Video Object Segmentation Semantic Segmentation +2
1 code implementation • CVPR 2020 • Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, Chi-Keung Tang
In this paper, we propose a novel approach to address the high-resolution segmentation problem without using any high-resolution training data.
Ranked #1 on Semantic Segmentation on BIG (using extra training data)