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 2521–2530 of 10420 papers

Title	Date	Tasks	Status	Hype
Masking Strategies for Background Bias Removal in Computer Vision Models	Aug 23, 2023	Fine-Grained Image Classificationimage-classification	CodeCode Available	1
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification	Aug 23, 2023	image-classificationImage Classification	—Unverified	0
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning	Aug 22, 2023	image-classificationImage Classification	—Unverified	0
Fairness Explainability using Optimal Transport with Applications in Image Classification	Aug 22, 2023	Decision MakingFairness	CodeCode Available	0
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training	Aug 22, 2023	image-classificationImage Classification	—Unverified	0
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation	Aug 22, 2023	Backdoor AttackFederated Learning	—Unverified	0
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models	Aug 22, 2023	Classificationimage-classification	CodeCode Available	0
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models	Aug 22, 2023	Few-Shot Image Classificationimage-classification	—Unverified	0
Diffusion Model as Representation Learner	Aug 21, 2023	Denoisingimage-classification	CodeCode Available	1
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models	Aug 21, 2023	Adversarial RobustnessBenchmarking	—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