Research

Papers for “image classification”

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

Title	Authors	Year	Source
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning	Ziliang Chen, Keze Wang, Xiao Wang	2017	arxiv 1707.09119
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers	Mariano V. Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris	2024	arxiv 2403.04523
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation	Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim	2025	arxiv 2505.21844
Mitigating Negative Flips via Margin Preserving Training	Simone Ricci, Niccolò Biondi, Federico Pernici	2025	arxiv 2511.08322
Unsupervised domain adaptation by learning using privileged information	Adam Breitholtz, Anton Matsson, Fredrik D. Johansson	2023	arxiv 2303.09350
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers	Shravan Venkatraman, Jaskaran Singh Walia, Joe Dhanith P R	2024	arxiv 2411.09420
Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function	Amy Vennos, Xin Xing, Christopher T. Franck	2026	arxiv 2602.18573
A Hierarchical Self-Consistent Regularization Approach to Satellite Image Time Series Classification	Giulio Weikmann, Gianmarco Perantoni, Lorenzo Bruzzone	2025	arxiv 2510.04916
Enabling Federated Inference via Unsupervised Consensus Embedding	Yui Hashimoto, Takayuki Nishio, Yuichi Kitagawa	2026	arxiv 2605.05718
Input-Dependent Fisher Information for Local Sensitivity Analysis of Medical Image Classifiers	Sourya Sengupta. Mark A. Anastasio	2026	arxiv 2606.16362
Radial Basis Function Networks as Projection Heads in Self-Supervised Learning	Andreas Schliebitz, Heiko Tapken, Martin Atzmueller	2026	arxiv 2606.21590
A computer vision-based approach to clean seismic catalogues	Michele De Solda, Camilla Rossi, Sonja Gaviano	2025	arxiv 2509.00791
Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation	Alireza Sarmadi, Virinchi Roy Surabhi, Prashanth Krishnamurthy	2026	arxiv 2606.04266
ReclAIm: A Multi-Agent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AI	Eleftherios Tzanis, Michail E. Klontzas	2025	arxiv 2510.17004
A Relational Model for One-Shot Classification	Arturs Polis, Alexander Ilin	2021	arxiv 2111.04313
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures	Martin Mundt, Sagnik Majumder, Tobias Weis	2018	arxiv 1812.05836
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts	Yu Sun, Xiaolong Wang, Zhuang Liu	2019	arxiv 1909.13231
Robustness and Overfitting Behavior of Implicit Background Models	Shirley Liu, Charles Lehman, Ghassan AlRegib	2020	arxiv 2008.09306
Using adversarial images to improve outcomes of federated learning for non-IID data	Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki	2022	arxiv 2206.08124
2nd Place Solution to Google Universal Image Embedding	Xiaolong Huang, Qiankun Li	2022	arxiv 2210.08735

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