4 papers
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation
Ci-Siang Lin, I-Jieh Liu, Min-Hung Chen +3
Referring Video Object Segmentation (RVOS) aims to segment the object referred to by the query sentence throughout the entire video. Most existing methods require end-to-end traini…
Frequency-Aware Self-Supervised Long-Tailed Learning
Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang
Data collected from the real world typically exhibit long-tailed distributions, where frequent classes contain abundant data while rare ones have only a limited number of samples.…
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang +1
Few-shot classification aims to carry out classification given only few labeled examples for the categories of interest. Though several approaches have been proposed, most existing…
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation
Zu-Yun Shiau, Wei-Wei Lin, Ci-Siang Lin +1
How to handle domain shifts when recognizing or segmenting visual data across domains has been studied by learning and vision communities. In this paper, we address domain generali…