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 34713480 of 10420 papers

TitleStatusHype
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed TrainingCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Efficient Search for Customized Activation Functions with Gradient DescentCode0
Deep Gradient Compression Reduce the Communication Bandwidth For distributed TraningCode0
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid RegularizationCode0
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
Orthogonal Convolutional Neural NetworksCode0
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic SegmentationCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
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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