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 5626–5650 of 10420 papers

Title	Date	Tasks	Status	Hype
Go Wider Instead of Deeper	Jul 25, 2021	Image ClassificationMixture-of-Experts	CodeCode Available	1
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products	Jul 24, 2021	Defect Detectionimage-classification	—Unverified	0
Multi-Label Image Classification with Contrastive Learning	Jul 24, 2021	ClassificationContrastive Learning	—Unverified	0
Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network	Jul 24, 2021	Generative Adversarial Networkimage-classification	—Unverified	0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks	Jul 23, 2021	Domain Adaptationimage-classification	—Unverified	0
Photon-Starved Scene Inference using Single Photon Cameras	Jul 23, 2021	Depth Estimationimage-classification	CodeCode Available	1
Pruning Ternary Quantization	Jul 23, 2021	image-classificationImage Classification	—Unverified	0
Bias Loss for Mobile Neural Networks	Jul 23, 2021	DescriptiveDiversity	CodeCode Available	1
RGB Image Classification with Quantum Convolutional Ansaetze	Jul 23, 2021	Classificationimage-classification	—Unverified	0
MCDAL: Maximum Classifier Discrepancy for Active Learning	Jul 23, 2021	Active LearningClassification	CodeCode Available	0
Rethinking Hard-Parameter Sharing in Multi-Domain Learning	Jul 23, 2021	Fine-Grained Image Classificationimage-classification	—Unverified	0
Federated Learning Versus Classical Machine Learning: A Convergence Comparison	Jul 22, 2021	BIG-bench Machine LearningFederated Learning	—Unverified	0
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks	Jul 21, 2021	Image ClassificationNatural Language Understanding	CodeCode Available	1
CycleMLP: A MLP-like Architecture for Dense Prediction	Jul 21, 2021	Image ClassificationInstance Segmentation	CodeCode Available	1
Precision-Weighted Federated Learning	Jul 20, 2021	Computational EfficiencyFederated Learning	—Unverified	0
Understanding Gender and Racial Disparities in Image Recognition Models	Jul 20, 2021	Fairnessimage-classification	—Unverified	0
Parametric Scattering Networks	Jul 20, 2021	Image ClassificationSmall Data Image Classification	CodeCode Available	1
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition	Jul 20, 2021	Image ClassificationLong-tail Learning	CodeCode Available	1
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access	Jul 20, 2021	image-classificationImage Classification	—Unverified	0
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks	Jul 19, 2021	Clusteringimage-classification	—Unverified	0
Non-binary deep transfer learning for image classification	Jul 19, 2021	ClassificationFine-Grained Image Classification	CodeCode Available	1
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)	Jul 19, 2021	image-classificationImage Classification	CodeCode Available	0
Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer	Jul 19, 2021	ClassificationDeep Learning	—Unverified	0
Just Train Twice: Improving Group Robustness without Training Group Information	Jul 19, 2021	image-classificationImage Classification	CodeCode Available	1
OODformer: Out-Of-Distribution Detection Transformer	Jul 19, 2021	Contrastive Learningimage-classification	CodeCode Available	1

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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	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
6	DaViT-H	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	RevCol-H	Top 1 Accuracy	90	—	Unverified