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 451–460 of 10419 papers

Title	Date	Tasks	Status	Hype
Contrastive Masked Autoencoders are Stronger Vision Learners	Jul 27, 2022	Contrastive LearningDecoder	CodeCode Available	1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels	Mar 25, 2021	Image ClassificationLearning with noisy labels	CodeCode Available	1
Class-Incremental Grouping Network for Continual Audio-Visual Learning	Sep 11, 2023	audio-visual learningclass-incremental learning	CodeCode Available	1
ConvMLP: Hierarchical Convolutional MLPs for Vision	Sep 9, 2021	Image ClassificationInstance Segmentation	CodeCode Available	1
Convolutional Xformers for Vision	Jan 25, 2022	GPUimage-classification	CodeCode Available	1
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison	May 1, 2021	Autonomous Vehiclesimage-classification	CodeCode Available	1
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models	Apr 23, 2024	image-classificationImage Classification	CodeCode Available	1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records	Jan 25, 2020	Disease PredictionGeneral Classification	CodeCode Available	1
Co-Tuning for Transfer Learning	Dec 1, 2020	Image ClassificationTransfer Learning	CodeCode Available	1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise	Nov 20, 2017	ClassificationGeneral 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