70 citations · 208 across the 9 of their papers we have counts for
8 papers · 1 filter
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang, Yang Zou, Vijayakumar Bhagavatula +1
Weakly Supervised Object Detection (WSOD) has emerged as an effective tool to train object detectors using only the image-level category labels. However, without object-level label…
Hard Class Rectification for Domain Adaptation
Yunlong Zhang, Changxing Jing, Huangxing Lin +4
Domain adaptation (DA) aims to transfer knowledge from a label-rich and related domain (source domain) to a label-scare domain (target domain). Pseudo-labeling has recently been wi…
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
Yang Zou, Xiaodong Yang, Zhiding Yu +2
Although a significant progress has been witnessed in supervised person re-identification (re-id), it remains challenging to generalize re-id models to new domains due to the huge…
Conservative Wasserstein Training for Pose Estimation
Xiaofeng Liu, Yang Zou, Tong Che +4
This paper targets the task with discrete and periodic class labels ( pose/orientation estimation) in the context of deep learning. The commonly used cross-entropy or regres…
Deep Classification Network for Monocular Depth Estimation
Azeez Oluwafemi, Yang Zou, B. V. K. Vijaya Kumar
Monocular Depth Estimation is usually treated as a supervised and regression problem when it actually is very similar to semantic segmentation task since they both are fundamentall…
Confidence Regularized Self-Training
Yang Zou, Zhiding Yu, Xiaofeng Liu +2
Recent advances in domain adaptation show that deep self-training presents a powerful means for unsupervised domain adaptation. These methods often involve an iterative process of…
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar +1
Recent deep networks achieved state of the art performance on a variety of semantic segmentation tasks. Despite such progress, these models often face challenges in real world `wil…
Simultaneous Edge Alignment and Learning
Zhiding Yu, Weiyang Liu, Yang Zou +4
Edge detection is among the most fundamental vision problems for its role in perceptual grouping and its wide applications. Recent advances in representation learning have led to c…