3 citations · 3 across the 6 of their papers we have counts for
6 papers
Partial Ring Scan: Revisiting Scan Order in Vision State Space Models
Yi-Kuan Hsieh, Kuan-Chuan Peng, Xin li +3
State Space Models (SSMs) have emerged as efficient alternatives to attention for vision tasks, offering lineartime sequence processing with competitive accuracy. Vision SSMs, howe…
Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers
Yi-Kuan Hsieh, Jun-Wei Hsieh, Xin Li +2
Vision Transformer (ViT) has achieved impressive results across various vision tasks, yet its high computational cost limits practical applications. Recent methods have aimed to re…
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu, Jun-Wei Hsieh, Li Xin +3
Real-world datasets commonly exhibit noisy labels and class imbalance, such as long-tailed distributions. While previous research addresses this issue by differentiating noisy and…
Scale-Aware Crowd Count Network with Annotation Error Correction
Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng +2
Traditional crowd counting networks suffer from information loss when feature maps are downsized through pooling layers, leading to inaccuracies in counting crowds at a distance. E…
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen +2
Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not. To achieve a be…
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation
Yi-Chun Wang, Jun-Wei Hsieh, Ming-Ching Chang
Current NAS-based semantic segmentation methods focus on accuracy improvements rather than light-weight design. In this paper, we proposed a two-stage framework to design our NAS-b…