Search Results for author: Chien-Yao Wang

Found 13 papers, 11 papers with code

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

1 code implementation21 Feb 2024 Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

It can be used to obtain complete information, so that train-from-scratch models can achieve better results than state-of-the-art models pre-trained using large datasets, the comparison results are shown in Figure 1.

object-detection Real-Time Object Detection

YOLOR-Based Multi-Task Learning

2 code implementations29 Sep 2023 Hung-Shuo Chang, Chien-Yao Wang, Richard Robert Wang, Gene Chou, Hong-Yuan Mark Liao

Multi-task learning (MTL) aims to learn multiple tasks using a single model and jointly improve all of them assuming generalization and shared semantics.

Image Captioning Instance Segmentation +5

Ensemble Fusion for Small Object Detection

1 code implementation 18th International Conference on Machine Vision and Applications (MVA) 2023 Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee

Detecting small objects is often impeded by blurriness and low resolution, which poses substantial challenges for accurately detecting and localizing such objects.

 Ranked #1 on Small Object Detection on SOD4SB Public Test (using extra training data)

Object object-detection +1

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

1 code implementation18 Jul 2023 Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, TingWei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects.

Ranked #2 on Small Object Detection on SOD4SB Public Test (using extra training data)

Object object-detection +1

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

Our proposed NeighborTrack takes advantage of unoccluded neighbors' information to reconfirm the tracking target and reduces false tracking when the target is occluded.

Object 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.

Multiple Object Tracking Object

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

16 code implementations CVPR 2023 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.

Object Real-Time Object Detection +1

You Only Learn One Representation: Unified Network for Multiple Tasks

9 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.

Ranked #4 on Object Detection on COCO minival (APS metric)

Multi-Task Learning Real-Time Object Detection +1

Scaled-YOLOv4: Scaling Cross Stage Partial Network

42 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.

Real-Time Object Detection

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

124 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.

Attribute Image Classification +1

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