SOTA2 Research · papers

Papers for “image classification”

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

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20 indexed

Title	Authors	Year	Source
Fully trainable Gaussian derivative convolutional layer	Valentin Penaud--Polge, Santiago Velasco-Forero, Jesus Angulo	2022	arxiv 2207.08424
Test Sample Accuracy Scales with Training Sample Density in Neural Networks	Xu Ji, Razvan Pascanu, Devon Hjelm	2021	arxiv 2106.08365
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks	Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour	2022	arxiv 2210.09919
ULU: A Unified Activation Function	Simin Huo	2025	arxiv 2508.05073
Examination of PCA Utilisation for Multilabel Classifier of Multispectral Images	Filip Karpowicz, Wiktor Kępiński, Bartosz Staszyński	2025	arxiv 2509.01691
A Data-Free Analytical Quantization Scheme for Deep Learning Models	Ahmed Luqman, Khuzemah Qazi, Murray Patterson	2024	arxiv 2412.07391
Data Augmentation for Electrocardiogram Classification with Deep Neural Network	Naoki Nonaka, Jun Seita	2020	arxiv 2009.04398
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical Validation	Lars Schmarje, Vasco Grossmann, Claudius Zelenka	2023	arxiv 2306.12189
Predictive Coding beyond Correlations	Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak	2023	arxiv 2306.15479
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels	Zixia Jia, Junpeng Li, Shichuan Zhang	2024