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 2801–2810 of 10420 papers

Title	Date	Tasks	Status	Hype
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification	Jun 14, 2023	Graph structure learningimage-classification	CodeCode Available	2
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training	Jun 13, 2023	image-classificationImage Classification	CodeCode Available	0
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models	Jun 13, 2023	Adversarial AttackDecoder	—Unverified	0
MOFI: Learning Image Representations from Noisy Entity Annotated Images	Jun 13, 2023	image-classificationImage Classification	CodeCode Available	1
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training	Jun 12, 2023	Image Classification	CodeCode Available	1
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation	Jun 12, 2023	counterfactualExplainable Artificial Intelligence (XAI)	—Unverified	0
Resource Efficient Neural Networks Using Hessian Based Pruning	Jun 12, 2023	GPUimage-classification	—Unverified	0
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs)	Jun 12, 2023	image-classificationImage Classification	—Unverified	0
Revisiting Token Pruning for Object Detection and Instance Segmentation	Jun 12, 2023	image-classificationImage Classification	CodeCode Available	1
Rotational augmentation techniques: a new perspective on ensemble learning for image classification	Jun 12, 2023	Data AugmentationEnsemble Learning	—Unverified	0

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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