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 40114020 of 10420 papers

TitleStatusHype
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation0
Feature Kernel Distillation0
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry0
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity0
Analyzing Images for Music Recommendation0
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis0
Feature Map Convergence Evaluation for Functional Module0
Competing Ratio Loss for Discriminative Multi-class Image Classification0
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior0
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified