1 code implementation • 2 Dec 2022 • Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang
Change detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not.
Building change detection for remote sensing images
Change Detection
+2
1 code implementation • 16 Nov 2022 • Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang
This design strengthens the modeling of object motion and appearance features for data association.
Ranked #1 on
Multi-Object Tracking
on MOT17
(using extra training data)
no code implementations • 13 Sep 2021 • Bor-Shiun Wang, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Lipeng Ke, Siwei Lyu
We introduce the Learning Discrete Wavelet Pooling (LDW-Pooling) that can be applied universally to replace standard pooling operations to better extract features with improved accuracy and efficiency.
1 code implementation • 23 Aug 2021 • Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Cheng-Han Chou, Chih-Sheng Huang
Our approach can improve bot the stability and accuracy of DARTS, by smoothing the loss landscape and sampling architecture parameters within a suitable bandwidth.
1 code implementation • 3 Dec 2020 • Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen
Feature Pyramid (FP) is widely used in recent visual detection, however the top-down pathway of FP cannot preserve accurate localization due to pooling shifting.
Ranked #1 on
Object Detection
on UAVDT
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.
no code implementations • 13 Jul 2016 • Ray-Bing Chen, Kuang-Hung Cheng, Sheng-Mao Chang, Shuen-Lin Jeng, Ping-Yang Chen, Chun-Hao Yang, Chi-Chun Hsia
In this work, we consider a manufactory process which can be described by a multiple-instance logistic regression model.