2 citations · 4 across the 4 of their papers we have counts for
4 papers
Aligned Anchor Groups Guided Line Segment Detector
Zeyu Li, Annan Shu
This paper introduces a novel line segment detector, the Aligned Anchor Groups guided Line Segment Detector (AAGLSD), designed to detect line segments from images with high precisi…
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation
Yiwei Ma, Yijun Fan, Jiayi Ji +5
In recent times, automatic text-to-3D content creation has made significant progress, driven by the development of pretrained 2D diffusion models. Existing text-to-3D methods typic…
Pseudo-label Alignment for Semi-supervised Instance Segmentation
Jie Hu, Chen Chen, Liujuan Cao +4
Pseudo-labeling is significant for semi-supervised instance segmentation, which generates instance masks and classes from unannotated images for subsequent training. However, in ex…
Approximated Prompt Tuning for Vision-Language Pre-trained Models
Qiong Wu, Shubin Huang, Yiyi Zhou +4
Prompt tuning is a parameter-efficient way to deploy large-scale pre-trained models to downstream tasks by adding task-specific tokens. In terms of vision-language pre-trained (VLP…