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 526–550 of 10419 papers

Title	Date	Tasks	Status	Hype	Score
A deep active learning system for species identification and counting in camera trap images	Oct 22, 2019	Active LearningDecision Making	CodeCode Available	1	5
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets	Mar 30, 2020	Fine-Grained Image ClassificationImage Classification	CodeCode Available	1	5
Astroformer: More Data Might not be all you need for Classification	Apr 3, 2023	AllAstronomy	CodeCode Available	1	5
Counterfactual Generative Networks	Jan 15, 2021	Classificationcounterfactual	CodeCode Available	1	5
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification	Apr 4, 2023	Data Augmentationimage-classification	CodeCode Available	1	5
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language	Feb 7, 2022	image-classificationImage Classification	CodeCode Available	1	5
Deep CORAL: Correlation Alignment for Deep Domain Adaptation	Jul 6, 2016	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Differentiable Top-k Classification Learning	Jun 15, 2022	General ClassificationImage Classification	CodeCode Available	1	5
Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm	Dec 19, 2023	image-classificationImage Classification	CodeCode Available	1	5
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis	Nov 7, 2023	DecoderFine-Grained Image Classification	CodeCode Available	1	5
Convolutional Sequence to Sequence Learning	May 8, 2017	Bangla Spelling Error CorrectionCPU	CodeCode Available	1	5
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification	Oct 21, 2021	ClassificationHyperspectral Image Classification	CodeCode Available	1	5
A Simple Semi-Supervised Learning Framework for Object Detection	May 10, 2020	Data Augmentationimage-classification	CodeCode Available	1	5
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction	Mar 27, 2020	Activity Recognition In VideosEvent data classification	CodeCode Available	1	5
Understanding the Role of the Projector in Knowledge Distillation	Mar 20, 2023	image-classificationImage Classification	CodeCode Available	1	5
Addressing Failure Prediction by Learning Model Confidence	Oct 1, 2019	image-classificationImage Classification	CodeCode Available	1	5
Addressing Failure Detection by Learning Model Confidence	Dec 1, 2019	image-classificationImage Classification	CodeCode Available	1	5
A Closer Look at Self-Supervised Lightweight Vision Transformers	May 28, 2022	Contrastive Learningimage-classification	CodeCode Available	1	5
ConvMLP: Hierarchical Convolutional MLPs for Vision	Sep 9, 2021	Image ClassificationInstance Segmentation	CodeCode Available	1	5
Convolutional Xformers for Vision	Jan 25, 2022	GPUimage-classification	CodeCode Available	1	5
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization	Nov 18, 2022	Diversityimage-classification	CodeCode Available	1	5
Contrastive Masked Autoencoders are Stronger Vision Learners	Jul 27, 2022	Contrastive LearningDecoder	CodeCode Available	1	5
A Simple Baseline for Low-Budget Active Learning	Oct 22, 2021	Active Learningimage-classification	CodeCode Available	1	5
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Oct 2, 2020	Contrastive LearningDescriptive	CodeCode Available	1	5
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels	Mar 25, 2021	Image ClassificationLearning with noisy labels	CodeCode Available	1	5

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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