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 35513560 of 10420 papers

TitleStatusHype
Deep Generalized Convolutional Sum-Product NetworksCode0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks PerformanceCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Deep convolutional neural networks for pedestrian detectionCode0
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural ArchitectureCode0
Image Classification with Classic and Deep Learning TechniquesCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
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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
10RevCol-HTop 1 Accuracy90Unverified