output
20152024
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations

Showing 2020 · cs.CVShow all

24 papers · 2 filters

cs.CV2020★ 43 cited

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Yuyang Qian, Guojun Yin, Lu Sheng +2

As realistic facial manipulation technologies have achieved remarkable progress, social concerns about potential malicious abuse of these technologies bring out an emerging researc…

cs.CV2020★ 6 cited

Continual Representation Learning for Biometric Identification

Bo Zhao, Shixiang Tang, Dapeng Chen +2

With the explosion of digital data in recent years, continuously learning new tasks from a stream of data without forgetting previously acquired knowledge has become increasingly i…

cs.CV2020★ 2 cited

3D Human Mesh Regression with Dense Correspondence

Wang Zeng, Wanli Ouyang, Ping Luo +2

Estimating 3D mesh of the human body from a single 2D image is an important task with many applications such as augmented reality and Human-Robot interaction. However, prior works…

cs.CV2020★ 11 cited

TPNet: Trajectory Proposal Network for Motion Prediction

Liangji Fang, Qinhong Jiang, Jianping Shi +1

Making accurate motion prediction of the surrounding traffic agents such as pedestrians, vehicles, and cyclists is crucial for autonomous driving. Recent data-driven motion predict…

cs.CV2020★ 77 cited

Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation

Qianyu Zhou, Zhengyang Feng, Qiqi Gu +4

Unsupervised domain adaptation (UDA) aims to adapt existing models of the source domain to a new target domain with only unlabeled data. Most existing methods suffer from noticeabl…

cs.CV2020★ 196 cited

DMT: Dynamic Mutual Training for Semi-Supervised Learning

Zhengyang Feng, Qianyu Zhou, Qiqi Gu +5

Recent semi-supervised learning methods use pseudo supervision as core idea, especially self-training methods that generate pseudo labels. However, pseudo labels are unreliable. Se…