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 3361–3370 of 10420 papers

Title	Date	Tasks	Status	Hype
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers	Jan 31, 2023	image-classificationImage Classification	—Unverified	0
Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease	Jan 31, 2023	Alzheimer's Detectionimage-classification	—Unverified	0
Reverse engineering adversarial attacks with fingerprints from adversarial examples	Jan 31, 2023	image-classificationImage Classification	—Unverified	0
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers	Jan 31, 2023	Image CaptioningImage Classification	CodeCode Available	1
Rethinking Soft Label in Label Distribution Learning Perspective	Jan 31, 2023	Data Augmentationimage-classification	—Unverified	0
Massively Scaling Heteroscedastic Classifiers	Jan 30, 2023	ClassificationContrastive Learning	—Unverified	0
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification	Jan 30, 2023	ClassificationDisentanglement	—Unverified	0
Lateralized Learning for Multi-Class Visual Classification Tasks	Jan 30, 2023	Classificationimage-classification	—Unverified	0
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models	Jan 30, 2023	Image ClassificationImage Classification with Differential Privacy	CodeCode Available	0
Language-Driven Anchors for Zero-Shot Adversarial Robustness	Jan 30, 2023	Adversarial DefenseAdversarial Robustness	CodeCode Available	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