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 2101–2110 of 10420 papers

Title	Date	Tasks	Status	Hype
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation	Dec 7, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks	Dec 6, 2023	Image Captioningimage-classification	—Unverified	0
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification	Dec 6, 2023	Classificationimage-classification	—Unverified	0
Foundation Model Assisted Weakly Supervised Semantic Segmentation	Dec 6, 2023	image-classificationImage Classification	CodeCode Available	1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification	Dec 5, 2023	DiversityFew-Shot Image Classification	CodeCode Available	1
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry	Dec 5, 2023	Contrastive Learningimage-classification	—Unverified	0
Classification for everyone : Building geography agnostic models for fairer recognition	Dec 5, 2023	image-classificationImage Classification	—Unverified	0
GDN: A Stacking Network Used for Skin Cancer Diagnosis	Dec 5, 2023	image-classificationImage Classification	CodeCode Available	0
CLAMP: Contrastive LAnguage Model Prompt-tuning	Dec 4, 2023	Contrastive LearningImage Captioning	—Unverified	0
Federated Active Learning for Target Domain Generalisation	Dec 4, 2023	Active LearningFederated Learning	CodeCode Available	0

Show:10 25 50

← PrevPage 211 of 1042Next →

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