Research

Papers for “image classification”

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

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	arxiv 2406.16293
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images	Jon Crall, Connor Greenwell, David Joy	2024	arxiv 2407.06337
Disposable-key-based image encryption for collaborative learning of Vision Transformer	Rei Aso, Sayaka Shiota, Hitoshi Kiya	2024	arxiv 2408.05737
Seam Carving as Feature Pooling in CNN	Mohammad Imrul Jubair	2024	arxiv 2409.06311
Local-to-Global Self-Attention in Vision Transformers	Jinpeng Li, Yichao Yan, Shengcai Liao	2021	arxiv 2107.04735
Model-Agnostic Learning to Meta-Learn	Arnout Devos, Yatin Dandi	2020	arxiv 2012.02684
Contrast R-CNN for Continual Learning in Object Detection	Kai Zheng, Cen Chen	2021	arxiv 2108.04224
Automated Robustness with Adversarial Training as a Post-Processing Step	Ambrish Rawat, Mathieu Sinn, Beat Buesser	2021	arxiv 2109.02532
Defensive Tensorization	Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya	2021	arxiv 2110.13859
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models	Arvindkumar Krishnakumar, Viraj Prabhu, Sruthi Sudhakar	2021	arxiv 2110.15499
Document AI: Benchmarks, Models and Applications	Lei Cui, Yiheng Xu, Tengchao Lv	2021	arxiv 2111.08609

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