most citedA Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers

3 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos

Ao Chen, Jinghua Zhang, Md Mamunur Rahaman +6

The accurate detection of sperms and impurities is a very challenging task, facing problems such as the small size of targets, indefinite target morphologies, low contrast and reso…

cs.CV2021★ 2 cited

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

Hechen Yang, Chen Li, Xin Zhao +10

The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corr…

cs.CV2021★ 3 cited

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

Hechen Yang, Chen Li, Jinghua Zhang +5

Nowadays, analysis of Transparent Environmental Microorganism Images (T-EM images) in the field of computer vision has gradually become a new and interesting spot. This paper compa…

cs.CV2021★ 3 cited

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 +6

Image classification has achieved unprecedented advance with the the rapid development of deep learning. However, the classification of tiny object images is still not well investi…