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 281290 of 10419 papers

TitleStatusHype
LambdaNetworks: Modeling Long-Range Interactions Without AttentionCode2
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetCode2
Bottleneck Transformers for Visual RecognitionCode2
Simplifying Object Segmentation with PixelLib LibraryCode2
RepVGG: Making VGG-style ConvNets Great AgainCode2
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed GradientsCode2
Sharpness-Aware Minimization for Efficiently Improving GeneralizationCode2
Generative Pretraining from PixelsCode2
Unsupervised Learning of Visual Features by Contrasting Cluster AssignmentsCode2
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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
10RevCol-HTop 1 Accuracy90Unverified