Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 8701–8725 of 10420 papers

Title	Date	Tasks	Status
Conditional Variance Penalties and Domain Shift Robustness	Oct 31, 2017	General Classificationimage-classification	CodeCode Available
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization	Mar 14, 2024	ClassificationDisentanglement	CodeCode Available
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift	Jun 7, 2019	Domain AdaptationDomain Generalization	CodeCode Available
Accurate Dictionary Learning with Direct Sparsity Control	Oct 1, 2018	Dictionary Learningfeature selection	CodeCode Available
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble	Feb 12, 2024	Adversarial AttackClassification	CodeCode Available
MetaKernel: Learning Variational Random Features with Limited Labels	May 8, 2021	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
E2GC: Energy-efficient Group Convolution in Deep Neural Networks	Jun 26, 2020	GPUimage-classification	CodeCode Available
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection	Feb 3, 2025	Image Classification	CodeCode Available
High Definition image classification in Geoscience using Machine Learning	Sep 25, 2020	BIG-bench Machine LearningClassification	CodeCode Available
Meta Label Correction for Noisy Label Learning	Nov 10, 2019	Image ClassificationLearning with noisy labels	CodeCode Available
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems	Dec 1, 2021	Computational Efficiencyimage-classification	CodeCode Available
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation	Apr 5, 2023	image-classificationImage Classification	CodeCode Available
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation	May 11, 2023	image-classificationImage Classification	CodeCode Available
A multiple-instance densely-connected ConvNet for aerial scene classification	Mar 3, 2020	Aerial Scene ClassificationClassification	CodeCode Available
Meta-learning algorithms for Few-Shot Computer Vision	Sep 30, 2019	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
Meta-Learning Initializations for Image Segmentation	Dec 13, 2019	Bayesian OptimizationFew-Shot Image Classification	CodeCode Available
Rescaling Large Datasets Based on Validation Outcomes of a Pre-trained Network	Jul 1, 2024	image-classificationImage Classification	CodeCode Available
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency	Jun 13, 2024	Decision Makingimage-classification	CodeCode Available
Dynamic Mode Decomposition based feature for Image Classification	Oct 8, 2019	BIG-bench Machine LearningClassification	CodeCode Available
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps	May 19, 2015	image-classificationImage Classification	CodeCode Available
Meta-Learning without Memorization	Dec 9, 2019	Few-Shot Image Classificationimage-classification	CodeCode Available
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging	May 24, 2023	Decision MakingImage Classification	CodeCode Available
A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT	Oct 25, 2024	Diagnosticimage-classification	CodeCode Available
Concept Graph Embedding Models for Enhanced Accuracy and Interpretability	Aug 13, 2024	Concept-based ClassificationGraph Embedding	CodeCode Available
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	Oct 7, 2016	image-classificationImage Classification	CodeCode Available

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All datasets ImageNet CIFAR-10 CIFAR-100 STL-10 ObjectNet MNIST SVHN iNaturalist 2018 ImageNet ReaL Flowers-102 Clothing1M mini WebVision 1.0

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CoCa (finetuned)	Top 1 Accuracy	91	—	Unverified
2	Model soups (BASIC-L)	Top 1 Accuracy	90.98	—	Unverified
3	Model soups (ViT-G/14)	Top 1 Accuracy	90.94	—	Unverified
4	DaViT-G	Top 1 Accuracy	90.4	—	Unverified
5	DaViT-H	Top 1 Accuracy	90.2	—	Unverified
6	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
7	SwinV2-G	Top 1 Accuracy	90.17	—	Unverified
8	MAWS (ViT-6.5B)	Top 1 Accuracy	90.1	—	Unverified
9	Florence-CoSwin-H	Top 1 Accuracy	90.05	—	Unverified
10	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified