6 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
Yuan-Chia Cheng, Zu-Yun Shiau, Fu-En Yang +1
To understand how deep neural networks perform classification predictions, recent research attention has been focusing on developing techniques to offer desirable explanations. How…
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
Xingning Dong, Tian Gan, Xuemeng Song +3
Scene Graph Generation, which generally follows a regular encoder-decoder pipeline, aims to first encode the visual contents within the given image and then parse them into a compa…
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…
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang
Aiming at recognizing images of the same person across distinct camera views, person re-identification (re-ID) has been among active research topics in computer vision. Most existi…