363 citations · 390 across the 9 of their papers we have counts for
9 papers
Few-Shot Semantic Segmentation Meets SAM3
Yi-Jen Tsai, Yen-Yu Lin, Chien-Yao Wang
Few-Shot Semantic Segmentation (FSS) focuses on segmenting novel object categories from only a handful of annotated examples. Most existing approaches rely on extensive episodic tr…
A Robust and Efficient Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
Sheng-You Huang, Hsiao-Chuan Chang, Yen-Chi Chen +6
Reinforcement Learning (RL) in Traffic Signal Control (TSC) faces significant hurdles in real-world deployment due to limited generalization to dynamic traffic flow variations. Exi…
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…
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
Today's deep learning methods focus on how to design the most appropriate objective functions so that the prediction results of the model can be closest to the ground truth. Meanwh…
YOLOR-Based Multi-Task Learning
Hung-Shuo Chang, Chien-Yao Wang, Richard Robert Wang +2
Multi-task learning (MTL) aims to learn multiple tasks using a single model and jointly improve all of them assuming generalization and shared semantics. Reducing conflicts between…
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection
Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang +2
State-of-the-art (SoTA) models have improved the accuracy of object detection with a large margin via a FP (feature pyramid). FP is a top-down aggregation to collect semantically s…