33 citations · 79 across the 7 of their papers we have counts for
7 papers
Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions
Weizhen He, Yiheng Deng, Shixiang Tang +9
Human intelligence can retrieve any person according to both visual and language descriptions. However, the current computer vision community studies specific person re-identificat…
Saliency Guided Contrastive Learning on Scene Images
Meilin Chen, Yizhou Wang, Shixiang Tang +6
Self-supervised learning holds promise in leveraging large numbers of unlabeled data. However, its success heavily relies on the highly-curated dataset, e.g., ImageNet, which still…
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Meilin Chen, Weijie Chen, Shicai Yang +8
Self-training for unsupervised domain adaptive object detection is a challenging task, of which the performance depends heavily on the quality of pseudo boxes. Despite the promisin…
FocalClick: Towards Practical Interactive Image Segmentation
Xi Chen, Zhiyan Zhao, Yilei Zhang +3
Interactive segmentation allows users to extract target masks by making positive/negative clicks. Although explored by many previous works, there is still a gap between academic ap…
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang, Shixiang Tang, Feng Zhu +4
The pretrain-finetune paradigm is a classical pipeline in visual learning. Recent progress on unsupervised pretraining methods shows superior transfer performance to their supervis…
State-Aware Tracker for Real-Time Video Object Segmentation
Xi Chen, Zuoxin Li, Ye Yuan +3
In this work, we address the task of semi-supervised video object segmentation(VOS) and explore how to make efficient use of video property to tackle the challenge of semi-supervis…
Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation
Xi Chen, Donglian Qi, Jianxin Shen
Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed. However, this problem has not been well studied in…