Hechen Yang

According to our database, Hechen Yang authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection.

Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li

Proceedings of the IEEE International Conference on Big Data, 2023

Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model.

Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li

Proceedings of the IEEE International Conference on Big Data, 2023

2021

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation.

Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek

CoRR, 2021

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation.

Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek

CoRR, 2021

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers.

Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek

CoRR, 2021

A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers.

Hechen Yang, Chen Li, Peng Zhao, Ao Chen, Xin Zhao, Marcin Grzegorzek

CoRR, 2021

A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer.

Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek

CoRR, 2021