no code implementations • 10 Aug 2023 • Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
To facilitate the use of machine learning models, we further process the images by cropping them into patches, resulting in a labeled dataset comprising 151, 380 image patches.
no code implementations • 17 Jul 2023 • Raiyan Rahman, Christopher Indris, Tianxiao Zhang, Kaidong Li, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
We have collected and labeled a large aphid image dataset in the field, and propose the use of real-time semantic segmentation models to segment clusters of aphids.
no code implementations • 12 Jul 2023 • Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
Aphids are one of the main threats to crops, rural families, and global food security.
no code implementations • 26 May 2023 • Tianxiao Zhang, Andrés M. Bur, Shannon Kraft, Hannah Kavookjian, Bryan Renslo, Xiangyu Chen, Bo Luo, Guanghui Wang
In this study, we made the first endeavor to employ deep learning models to predict patient demographic information to improve detector model performance.
1 code implementation • 23 Jan 2022 • Tianxiao Zhang, Bo Luo, Ajay Sharda, Guanghui Wang
For anchor-based detection models, the IoU (Intersection over Union) threshold between the anchors and their corresponding ground truth bounding boxes is the key element since the positive samples and negative samples are divided by the IoU threshold.
no code implementations • 31 Dec 2021 • Yiju Yang, Tianxiao Zhang, Guanyu Li, Taejoon Kim, Guanghui Wang
In this paper, we propose a dual-module network architecture that employs a domain discriminative feature module to encourage the domain invariant feature module to learn more domain invariant features.
1 code implementation • 26 Dec 2021 • Wenchi Ma, Tianxiao Zhang, Guanghui Wang
Object Detection with Transformers (DETR) and related works reach or even surpass the highly-optimized Faster-RCNN baseline with self-attention network architectures.
no code implementations • 22 Apr 2021 • Kaidong Li, Mohammad I. Fathan, Krushi Patel, Tianxiao Zhang, Cuncong Zhong, Ajay Bansal, Amit Rastogi, Jean S. Wang, Guanghui Wang
This work can serve as a baseline for future research in polyp detection and classification.
no code implementations • 3 Jan 2021 • Tianxiao Zhang, Wenchi Ma, Guanghui Wang
If we train the detector using the data from one domain, it cannot perform well on the data from another domain due to domain shift, which is one of the big challenges of most object detection models.
1 code implementation • 17 Dec 2020 • Tianxiao Zhang, Xiaohan Zhang, Yiju Yang, Zongbo Wang, Guanghui Wang
The detection is performed on small image patches instead of the entire image to increase the performance of small ball detection.