Research

Papers for “imagenet”

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

Title	Authors	Year	Source
What Helps---and What Hurts: Bidirectional Explanations for Vision Transformers	Qin Su, Tie Luo	2026	arxiv 2603.01605
VDLF-Net: Variational Feature Fusion for Adaptive and Few-Shot Visual Learning	Jiawei Yan	2026	arxiv 2604.23641
FRInGe: Distribution-Space Integrated Gradients with Fisher--Rao Geometry	Gabriele Martino, Sebastian Tschiatschek	2026	arxiv 2605.06404
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification	Furkan Genç, Onat Özdemir, Emre Akbaş	2026	arxiv 2603.07571
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training	Mohammed Adnan, Rohan Jain, Tom Jacobs	2026	arxiv 2605.27541
FineGen: A VLM-based Multi-Agent Framework for Fine-Grained Image-Text Dataset Construction	Chang Kong, Yuebing Li, Peng Mo	2026	arxiv 2606.07645
Stronger Baseline for Person Re-Identification	Fengliang Qi, Bo Yan, Leilei Cao	2021	arxiv 2112.01059
Combating Adversaries with Anti-Adversaries	Motasem Alfarra, Juan C. Pérez, Ali Thabet	2021	arxiv 2103.14347
Aggregating Global Features into Local Vision Transformer	Krushi Patel, Andres M. Bur, Fengjun Li	2022	arxiv 2201.12903
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations	Amin Ghiasi, Hamid Kazemi, Steven Reich	2022	arxiv 2201.12961
Improving Self-Supervised Learning by Characterizing Idealized Representations	Yann Dubois, Tatsunori Hashimoto, Stefano Ermon	2022	arxiv 2209.06235
Holistically Explainable Vision Transformers	Moritz Böhle, Mario Fritz, Bernt Schiele	2023	arxiv 2301.08669
On Modifying a Neural Network's Perception	Manuel de Sousa Ribeiro, João Leite	2023	arxiv 2303.02655
Designing Deep Networks for Scene Recognition	Zhinan Qiao, Xiaohui Yuan	2023	arxiv 2303.07402
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models	Jonathan Roberts, Kai Han, Samuel Albanie	2023	arxiv 2304.11619
Accelerating Neural Self-Improvement via Bootstrapping	Kazuki Irie, Jürgen Schmidhuber	2023	arxiv 2305.01547
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation	Koichi Kuriyama	2023	arxiv 2305.02668
Forward-Forward Contrastive Learning	Md. Atik Ahamed, Jin Chen, Abdullah-Al-Zubaer Imran	2023	arxiv 2305.02927
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency	Yike Yuan, Xinghe Fu, Yunlong Yu	2023	arxiv 2306.04654
Countering Adversarial Images using Input Transformations	Chuan Guo, Mayank Rana, Moustapha Cisse	2017	arxiv 1711.00117

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