Research

Papers for “image classification”

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

Title	Authors	Year	Source
Anytime Continual Learning for Open Vocabulary Classification	Zhen Zhu, Yiming Gong, Derek Hoiem	2024	arxiv 2409.08518
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections	Christian Schiffer, Katrin Amunts, Stefan Harmeling	2020	arxiv 2011.12865
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG	Andac Demir, Iya Khalil, Bulent Kiziltan	2022	arxiv 2212.04951
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual Context	Samarth Singhal, Sandeep Singhal	2025	arxiv 2506.12683
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis	Christoph Berger, Magdalini Paschali, Ben Glocker	2021	arxiv 2107.02568
Consensus Clustering With Unsupervised Representation Learning	Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu	2020	arxiv 2010.01245
Riemannian Manifold Optimization for Discriminant Subspace Learning	Wanguang Yin, Zhengming Ma, Quanying Liu	2021	arxiv 2101.08032
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks	Zhiqian Chen, Fanglan Chen, Lei Zhang	2020	arxiv 2002.11867
Statistical Measures For Defining Curriculum Scoring Function	Vinu Sankar Sadasivan, Anirban Dasgupta	2021	arxiv 2103.00147
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT	Dmitrii Lachinov, Philipp Seeboeck, Julia Mai	2021	arxiv 2108.00831
Instance Similarity Learning for Unsupervised Feature Representation	Ziwei Wang, Yunsong Wang, Ziyi Wu	2021	arxiv 2108.02721
m-RevNet: Deep Reversible Neural Networks with Momentum	Duo Li, Shang-Hua Gao	2021	arxiv 2108.05862
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models	Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya	2021	arxiv 2109.01332
Automated Seed Quality Testing System using GAN & Active Learning	Sandeep Nagar, Prateek Pani, Raj Nair	2021	arxiv 2110.00777
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration	Gavin Kerrigan, Padhraic Smyth, Mark Steyvers	2021	arxiv 2109.14591
ParticleAugment: Sampling-Based Data Augmentation	Alexander Tsaregorodtsev, Vasileios Belagiannis	2021	arxiv 2106.08693
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural Networks	Chandramouli Amarnath, Aishwarya H. Balwani, Kwondo Ma	2021	arxiv 2110.08447
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification	Zhenyu Wang, Yali Li, Ye Guo	2021	arxiv 2111.00928
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD	Chen Fan, Parikshit Ram, Sijia Liu	2021	arxiv 2109.07497
Defending Against Image Corruptions Through Adversarial Augmentations	Dan A. Calian, Florian Stimberg, Olivia Wiles	2021	arxiv 2104.01086

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