SOTA2 Research · papers

Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet	Luke Melas-Kyriazi	2021	arxiv 2105.02723
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images	Marin Oršić, Ivan Krešo, Petra Bevandić	2019	arxiv 1903.08469
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes	Xianyan Jia, Shutao Song, Wei He	2018	arxiv 1807.11205
A scoping review of transfer learning research on medical image analysis using ImageNet	Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol	2020	arxiv 2004.13175
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers	Xiangyong Lu, Masanori Suganuma, Takayuki Okatani	2023	arxiv 2311.03747
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracy	Shuntaro Takahashi, Takuya Wakisaka, Hiroyuki Tokunaga	2024	arxiv 2410.11553
CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet	Xiaoyi Dong, Jianmin Bao, Ting Zhang	2022	arxiv 2212.06138
Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation	Vinicius Pavanelli Vianna	2018	arxiv 1806.00839
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train	Valeriu Codreanu, Damian Podareanu, Vikram Saletore