4 citations · 9 across the 5 of their papers we have counts for
5 papers
Prompt-based Learning for Unpaired Image Captioning
Peipei Zhu, Xiao Wang, Lin Zhu +4
Unpaired Image Captioning (UIC) has been developed to learn image descriptions from unaligned vision-language sample pairs. Existing works usually tackle this task using adversaria…
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
Peipei Zhu, Xiao Wang, Yong Luo +4
The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplis…
Unsupervised Monocular Depth Perception: Focusing on Moving Objects
Hualie Jiang, Laiyan Ding, Zhenglong Sun +1
As a flexible passive 3D sensing means, unsupervised learning of depth from monocular videos is becoming an important research topic. It utilizes the photometric errors between the…
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu, Bingchen Zhao, Jingen Liu +2
Contrastive learning, which aims at minimizing the distance between positive pairs while maximizing that of negative ones, has been widely and successfully applied in unsupervised…
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Liguang Zhou, Jun Cen, Xingchao Wang +3
Scene recognition is a fundamental task in robotic perception. For human beings, scene recognition is reasonable because they have abundant object knowledge of the real world. The…