184 citations · 200 across the 4 of their papers we have counts for
7 papers
A Universal Action Space for General Behavior Analysis
Hung-Shuo Chang, Yue-Cheng Yang, Yu-Hsi Chen +6
Analyzing animal and human behavior has long been a challenging task in computer vision. Early approaches from the 1970s to the 1990s relied on hand-crafted edge detection, segment…
Deep Learning-based Animal Behavior Analysis: Insights from Mouse Chronic Pain Models
Yu-Hsi Chen, Wei-Hsin Chen, Chien-Yao Wang +3
Assessing chronic pain behavior in mice is critical for preclinical studies. However, existing methods mostly rely on manual labeling of behavioral features, and humans lack a clea…
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Mark Liao
Identifying and localizing objects within images is a fundamental challenge, and numerous efforts have been made to enhance model accuracy by experimenting with diverse architectur…
YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems
Chien-Yao Wang, Hong-Yuan Mark Liao
This is a comprehensive review of the YOLO series of systems. Different from previous literature surveys, this review article re-examines the characteristics of the YOLO series fro…
Designing Network Design Strategies Through Gradient Path Analysis
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh
Designing a high-efficiency and high-quality expressive network architecture has always been the most important research topic in the field of deep learning. Most of today's networ…
You Only Learn One Representation: Unified Network for Multiple Tasks
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
People ``understand'' the world via vision, hearing, tactile, and also the past experience. Human experience can be learned through normal learning (we call it explicit knowledge),…