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 24612470 of 10420 papers

TitleStatusHype
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch NoiseCode0
Instance Temperature Knowledge DistillationCode0
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesCode0
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual LearningCode0
Instance-based Label Smoothing For Better Calibrated Classification NetworksCode0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
Input-gradient space particle inference for neural network ensemblesCode0
Initialization Matters for Adversarial Transfer LearningCode0
Input Invex Neural NetworkCode0
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
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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