Research

Papers for “image classification”

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

Title	Authors	Year	Source
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions	Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang	2022	arxiv 2203.00960
Do Vision Transformers See Like Convolutional Neural Networks?	Maithra Raghu, Thomas Unterthiner, Simon Kornblith	2021	arxiv 2108.08810
Sparseout: Controlling Sparsity in Deep Networks	Najeeb Khan, Ian Stavness	2019	arxiv 1904.08050
Generating Multi-Center Classifier via Conditional Gaussian Distribution	Zhemin Zhang, Xun Gong	2024	arxiv 2401.15942
Image-Caption Encoding for Improving Zero-Shot Generalization	Eric Yang Yu, Christopher Liao, Sathvik Ravi	2024	arxiv 2402.02662
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge	Lucas Fenaux, Florian Kerschbaum	2024	arxiv 2402.14937
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts	Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess	2023	arxiv 2308.01313
Biologically inspired deep residual networks for computer vision applications	Prathibha Varghese, G. Arockia Selva Saroja	2022	arxiv 2205.02551
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study	Xu Wu, Zhihui Lai, Zhou Jie	2024	arxiv 2409.14461
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders	Jefferson Hernandez, Ruben Villegas, Vicente Ordonez	2023	arxiv 2303.12001
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models	Weiheng Chai, Brian Testa, Huantao Ren	2024	arxiv 2402.09316
CLAMP: Contrastive LAnguage Model Prompt-tuning	Piotr Teterwak, Ximeng Sun, Bryan A. Plummer	2023	arxiv 2312.01629
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution	Brandon Morgan, Dean Hougen	2024	arxiv 2404.06679
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision	Seongho Joe, Byoungjip Kim, Hoyoung Kang	2023	arxiv 2304.09369
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention	Nguyen Huu Bao Long, Chenyu Zhang, Yuzhi Shi	2024	arxiv 2410.08582
On the Cost of Model-Serving Frameworks: An Experimental Evaluation	Pasquale De Rosa, Yérom-David Bromberg, Pascal Felber	2024	arxiv 2411.10337
Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning	Ruinan Wang, Ian Nabney, Mohammad Golbabaee	2025	arxiv 2503.05106
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective	Tal Alter, Raz Lapid, Moshe Sipper	2024	arxiv 2408.13809
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network	Pengcheng Yuan, Shufei Lin, Cheng Cui	2020	arxiv 2010.07621
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning	Lie Ju, Xin Wang, Xin Zhao	2020	arxiv 2003.10607

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