13 citations · 23 across the 7 of their papers we have counts for
4 papers · 2 filters
Small Objects Matters in Weakly-supervised Semantic Segmentation
Cheolhyun Mun, Sanghuk Lee, Youngjung Uh +2
Weakly-supervised semantic segmentation (WSSS) performs pixel-wise classification given only image-level labels for training. Despite the difficulty of this task, the research comm…
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Dongjun Lee, Seokwon Song, Jihee Suh +3
In recent years, prompt tuning has proven effective in adapting pre-trained vision-language models to downstream tasks. These methods aim to adapt the pre-trained models by introdu…
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion
Xinhai Liu, Zhizhong Han, Sanghuk Lee +2
Learning and selecting important points on a point cloud is crucial for point cloud understanding in various applications. Most of early methods selected the important points on 3D…
Self-positioning Point-based Transformer for Point Cloud Understanding
Jinyoung Park, Sanghyeok Lee, Sihyeon Kim +2
Transformers have shown superior performance on various computer vision tasks with their capabilities to capture long-range dependencies. Despite the success, it is challenging to…