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 43214330 of 10420 papers

TitleStatusHype
Adaptive Mixture of Low-Rank Factorizations for Compact Neural Modeling0
Deep neural network loses attention to adversarial images0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches0
Achieving 3D Attention via Triplet Squeeze and Excitation Block0
Batch Group Normalization0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation0
A Multi-Modal Multilingual Benchmark for Document Image Classification0
Human-interpretable model explainability on high-dimensional data0
Deep Neural Network Approximation Theory0
Deep Networks with Fast Retraining0
Show:102550
← PrevPage 433 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
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