390 citations · 1.3k across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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),…
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on co…