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 28212830 of 10420 papers

TitleStatusHype
Image Classification Using Singular Value Decomposition and OptimizationCode0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications0
Leveraging Content and Context Cues for Low-Light Image EnhancementCode0
Post-Training Non-Uniform Quantization for Convolutional Neural Networks0
How transfer learning is used in generative models for image classification: improved accuracyCode0
Impact of Privacy Parameters on Deep Learning Models for Image Classification0
Convolution goes higher-order: a biologically inspired mechanism empowers image classification0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis0
Vision Transformer-based Semantic Communications With Importance-Aware Quantization0
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents0
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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