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 35013510 of 10420 papers

TitleStatusHype
Stochastic Online Conformal Prediction with Semi-Bandit Feedback0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens0
Task agnostic continual learning with Pairwise layer architectureCode0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification0
Decentralized Federated Learning Over Imperfect Communication Channels0
Multimodal Adaptive Inference for Document Image Classification with Anytime Early ExitingCode0
An Invisible Backdoor Attack Based On Semantic Feature0
Verification technology for finger vein biometric0
Towards SAR Automatic Target Recognition MultiCategory SAR Image Classification Based on Light Weight Vision Transformer0
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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