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 24712480 of 10420 papers

TitleStatusHype
AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW BasisCode0
Dynamic Early Exiting Predictive Coding Neural Networks0
Compressing Vision Transformers for Low-Resource Visual LearningCode0
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach0
Locality-Aware Hyperspectral ClassificationCode1
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets0
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer0
Traveling Waves Encode the Recent Past and Enhance Sequence LearningCode1
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and ExperimentsCode0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified