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 25612570 of 10420 papers

TitleStatusHype
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement0
Application of the Neural Network Dependability Kit in Real-World Environments0
Adversarial Examples in Remote Sensing0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP0
Application of the Modified Fractal Signature Method for Terrain Classification from Synthetic Aperture Radar Images0
CLIPAG: Towards Generator-Free Text-to-Image Generation0
Application of Sensitivity Analysis Methods for Studying Neural Network Models0
DropKey for Vision Transformer0
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification0
A New Quantum CNN Model for Image Classification0
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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