Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend	McKell Woodland, Austin Castelo, Mais Al Taie	2023	arxiv 2311.13717
Fixing the train-test resolution discrepancy: FixEfficientNet	Hugo Touvron, Andrea Vedaldi, Matthijs Douze	2020	arxiv 2003.08237
Rethinking Person Re-Identification via Semantic-Based Pretraining	Suncheng Xiang, Jingsheng Gao, Zirui Zhang	2021	arxiv 2110.05074
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection	Chris Rohlfs	2022	arxiv 2201.01415
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging	Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez	2024	arxiv 2403.04484
Unsupervised Discriminative Learning of Sounds for Audio Event Classification	Sascha Hornauer, Ke Li, Stella X. Yu	2021	arxiv 2105.09279
Covariance-Aware Goodness for Scalable Forward-Forward Learning	Xiaoyi Jiang, Bashir M. Al-Hashimi, Kai Xu	2026	arxiv 2605.04346
Improving Transfer Learning with a Dual Image and Video Transformer for Multi-label Movie Trailer Genre Classification	Ricardo Montalvo-Lezama, Berenice Montalvo-Lezama, Gibran Fuentes-Pineda	2022	arxiv 2210.07983
A Sober Look at the Robustness of CLIPs to Spurious Features	Qizhou Wang, Yong Lin, Yongqiang Chen	2024	arxiv 2403.11497
NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering	Alexander Murphy, Michal Danilowski, Soumyajit Chatterjee	2025	arxiv 2510.05635
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions	Xuan Cheng, Tianshu Xie, Xiaomin Wang	2021	arxiv 2103.15383
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation	AprilPyone MaungMaung, Huy H. Nguyen, Hitoshi Kiya	2024	arxiv 2402.08200
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?	Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron	2021	arxiv 2112.10740
Large-scale Dataset Pruning with Dynamic Uncertainty	Muyang He, Shuo Yang, Tiejun Huang	2023	arxiv 2306.05175
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features	Shichao Xu, Yikang Li, Jenhao Hsiao	2022	arxiv 2208.09562
Academic Torrents: Scalable Data Distribution	Henry Z. Lo, Joseph Paul Cohen	2016	arxiv 1603.04395
CEB Improves Model Robustness	Ian Fischer, Alexander A. Alemi	2020	arxiv 2002.05380
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification	Kai Yi, Xiaoqian Shen, Yunhao Gou	2022	arxiv 2203.01386
If your data distribution shifts, use self-learning	Evgenia Rusak, Steffen Schneider, George Pachitariu	2021	arxiv 2104.12928
Colorization as a Proxy Task for Visual Understanding	Gustav Larsson, Michael Maire, Gregory Shakhnarovich	2017	arxiv 1703.04044

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