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 811820 of 10420 papers

TitleStatusHype
Making Vision Transformers Efficient from A Token Sparsification ViewCode1
Pretrained ViTs Yield Versatile Representations For Medical ImagesCode1
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReIDCode1
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised LearningCode1
Twin Contrastive Learning with Noisy LabelsCode1
Extending global-local view alignment for self-supervised learning with remote sensing imageryCode1
Schema Inference for Interpretable Image ClassificationCode1
Spawrious: A Benchmark for Fine Control of Spurious Correlation BiasesCode1
FFT-based Dynamic Token Mixer for VisionCode1
A Unified Algebraic Perspective on Lipschitz Neural NetworksCode1
Show:102550
← PrevPage 82 of 1042Next →

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