1 code implementation • 12 Nov 2022 • Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao
We propose a post-processor, called NeighborTrack, that leverages neighbor information of the tracking target to validate and improve single-object tracking (SOT) results.
Ranked #1 on Visual Object Tracking on UAV123
no code implementations • 9 Nov 2022 • Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh
This paper proposes a new network design strategy, i. e., to design the network architecture based on gradient path analysis.
1 code implementation • 29 Oct 2022 • Zhong-Min Tsai, Yu-Ju Tsai, Chien-Yao Wang, Hong-Yuan Liao, Youn-Long Lin, Yung-Yu Chuang
For each object, a customized fully convolutional search engine is created by SearchTrack by learning a set of weights for dynamic convolutions specific to the object.
9 code implementations • 6 Jul 2022 • Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56. 8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.
Ranked #3 on Real-Time Object Detection on COCO (using extra training data)
8 code implementations • 10 May 2021 • Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
In this paper, we propose a unified network to encode implicit knowledge and explicit knowledge together, just like the human brain can learn knowledge from normal learning as well as subconsciousness learning.
Ranked #1 on Real-Time Object Detection on COCO test-dev
41 code implementations • CVPR 2021 • Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy.
Ranked #9 on Object Detection on COCO test-dev
224 code implementations • 23 Apr 2020 • Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy.
Ranked #30 on Object Detection on COCO test-dev
126 code implementations • 27 Nov 2019 • Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.
Ranked #591 on Image Classification on ImageNet
no code implementations • 27 Nov 2019 • Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang, Hong-Yuan Mark Liao, Munkhjargal Gochoo
A new structure "residual feature pyramid" is proposed in this paper.