Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification	Yuning Huang, Jingchen Zou, Lanxi Meng	2024	arxiv 2402.07595
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging	Jean Kaddour	2022	arxiv 2209.14981
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level	Gabriele Lagani, Claudio Gennaro, Hannes Fassold	2022	arxiv 2207.03172
Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps	Kim Ouan, Noémie Moreau, Katarzyna Bozek	2026	arxiv 2603.15269
Toward an ImageNet Library of Functions for Global Optimization Benchmarking	Boris Yazmir, Ofer M. Shir	2022	arxiv 2206.13630
Geometry aware 3D generation from in-the-wild images in ImageNet	Qijia Shen, Guangrun Wang	2024	arxiv 2402.00225
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet	Yunuo Xiong, Shujuan Liu, Hongwei Xiong	2023	arxiv 2310.05947
Improving the robustness of ImageNet classifiers using elements of human visual cognition	A. Emin Orhan, Brenden M. Lake	2019	arxiv 1906.08416
CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy	Xianhang Li, Zeyu Wang, Cihang Xie	2023	arxiv 2306.15658
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs	Yikang Zhang, Zhuo Chen, Zhao Zhong	2021	arxiv 2107.03815
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet	Lei Zhang, David Zhang	2015	arxiv 1506.02509
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation	Vladimir Iglovikov, Alexey Shvets	2018	arxiv 1801.05746
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach	Wenda Zhou, Victor Veitch, Morgane Austern	2018	arxiv 1804.05862
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization	Shunxin Wang, Raymond Veldhuis, Nicola Strisciuglio	2025	arxiv 2503.03519
ImageNet-Think-250K: A Large-Scale Synthetic Dataset for Multimodal Reasoning for Vision Language Models	Krishna Teja Chitty-Venkata, Murali Emani	2025	arxiv 2510.01582
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs	Peijie Chen, Chirag Agarwal, Anh Nguyen	2020	arxiv 2006.09373
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes	Peng Sun, Wansen Feng, Ruobing Han	2019	arxiv 1902.06855
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video	Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira	2023	arxiv 2310.08584
F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting	Yuxin Wang, Qianyi Wu, Dan Xu	2025	arxiv 2501.06714
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective	Wuyang Chen, Xinyu Gong, Zhangyang Wang	2021	arxiv 2102.11535

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