TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos

no code implementations • 18 Apr 2022 • Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, YuDong Yao, Xinyu Huang, Marcin Grzegorzek

The detection of tiny objects in microscopic videos is a problematic point, especially in large-scale experiments.

object-detection Object Detection

A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis

no code implementations • 16 Feb 2022 • Wenwei Zhao, Pingli Ma, Chen Li, Xiaoning Bu, Shuojia Zou, Tao Jiang, Marcin Grzegorzek

The various works related to Computer Assisted Sperm Analysis methods in the last 30 years (since 1988) are comprehensively introduced and analysed in this survey.

object-detection Object Detection +1

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

no code implementations • 3 Jun 2021 • Ao Chen, Chen Li, HaoYuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek

In this paper, we first briefly review the development of Convolutional Neural Network and Visual Transformer in deep learning, and introduce the sources and development of conventional noises and adversarial attacks.

Classification Deep Learning +1

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches

no code implementations • 7 May 2021 • Pingli Ma, Chen Li, Md Mamunur Rahaman, YuDong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek

In this review, first, we analyse the existing microorganism detection methods in chronological order, from traditional image processing and traditional machine learning to deep learning methods.

object-detection Object Detection