Search Results for author: Chien-Yao Wang

Found 9 papers, 7 papers with code

NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets

1 code implementation12 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.

Visual Object Tracking

Designing Network Design Strategies Through Gradient Path Analysis

no code implementations9 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.

SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features

1 code implementation29 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.

Association Multiple Object Tracking

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

9 code implementations6 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)

2D object detection Real-Time Object Detection +1

You Only Learn One Representation: Unified Network for Multiple Tasks

8 code implementations10 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.

Multi-Task Learning Real-Time Object Detection +1

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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.

2D object detection Real-Time Object Detection

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

126 code implementations27 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.

Image Classification Real-Time Object Detection

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