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20212023
most citedTransmon qubit with relaxation time exceeding 0.5 milliseconds

385 citations · 403 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling

Guiqin Wang, Peng Zhao, Cong Zhao +5

Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple insta…

cs.CV2021★ 2 cited

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 +7

Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict re…

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★ 4 cited

A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers

Peng Zhao, Chen Li, Md Mamunur Rahaman +5

In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification. However, image classification of small EM datasets has stil…

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…