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 45014510 of 10420 papers

TitleStatusHype
Accurate and Efficient Similarity Search for Large Scale Face Recognition0
Image Classification for Snow Detection to Improve Pedestrian Safety0
Image Classification on Accelerated Neural Networks0
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing0
Deep Feature Augmentation for Occluded Image Classification0
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks0
Image Classification by Feature Dimension Reduction and Graph based Ranking0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think0
Deepfake Video Forensics based on Transfer Learning0
Adaptive Dataset Sampling by Deep Policy Gradient0
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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