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 671–680 of 10419 papers

Title	Date	Tasks	Status	Hype
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation	Mar 16, 2023	Domain Adaptationimage-classification	CodeCode Available	1
Contextual Transformer Networks for Visual Recognition	Jul 26, 2021	Image ClassificationInstance Segmentation	CodeCode Available	1
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition	Aug 12, 2020	image-classificationImage Classification	CodeCode Available	1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation	Dec 17, 2020	Domain GeneralizationImage Classification	CodeCode Available	1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification	Apr 7, 2023	Hyperspectral image analysisHyperspectral Image Classification	CodeCode Available	1
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning	Jan 3, 2020	Continual Learningimage-classification	CodeCode Available	1
Continual Learning with Scaled Gradient Projection	Feb 2, 2023	Continual Learningimage-classification	CodeCode Available	1
ConTNet: Why not use convolution and transformer at the same time?	Apr 27, 2021	image-classificationImage Classification	CodeCode Available	1
CLCC: Contrastive Learning for Color Constancy	Jun 9, 2021	Color ConstancyContrastive Learning	CodeCode Available	1
Class-Incremental Grouping Network for Continual Audio-Visual Learning	Sep 11, 2023	audio-visual learningclass-incremental learning	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	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