Research

Papers for “imagenet”

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

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	2017	arxiv 1711.04291
Unrestricted Adversarial Attacks on ImageNet Competition	Yuefeng Chen, Xiaofeng Mao, Yuan He	2021	arxiv 2110.09903
Fine-Grained ImageNet Classification in the Wild	Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou	2023	arxiv 2303.02400
Scaling Up Deep Clustering Methods Beyond ImageNet-1K	Nikolas Adaloglou, Felix Michels, Kaspar Senft	2024	arxiv 2406.01203
Systematic evaluation of CNN advances on the ImageNet	Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas	2016	arxiv 1606.02228
Label Refinery: Improving ImageNet Classification through Label Progression	Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari	2018	arxiv 1805.02641
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning	Stanley Bryan Z. Hua, Alex X. Lu, Alan M. Moses	2021	arxiv 2111.11646
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning	Kamil Faber, Dominik Zurek, Marcin Pietron	2023	arxiv 2303.11076
Ten Years after ImageNet: A 360{\deg} Perspective on AI	Sanjay Chawla, Preslav Nakov, Ahmed Ali	2022	arxiv 2210.01797
Modelling response to trypophobia trigger using intermediate layers of ImageNet networks	Piotr Woźnicki, Micha\l Kuźba, Piotr Migda\l	2020	arxiv 2002.08490
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets	Aidar Amangeldi, Angsar Taigonyrov, Muhammad Huzaifa Jawad	2025	arxiv 2505.08259
Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds	Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi	2019	arxiv 1903.12650

Search results