SOTAVerified

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

Showing 21912200 of 10420 papers

TitleStatusHype
No Routing Needed Between CapsulesCode1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksCode1
Contrastive Learning of Generalized Game RepresentationsCode1
A General Framework For Detecting Anomalous Inputs to DNN ClassifiersCode1
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text AttacksCode1
Contrastive Losses Are Natural Criteria for Unsupervised Video SummarizationCode1
Detecting AutoAttack Perturbations in the Frequency DomainCode1
DEUP: Direct Epistemic Uncertainty PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified