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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6776–6800 of 10420 papers

TitleStatusHype
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity—0
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification—0
Deep Domain Generalization with Feature-norm Network—0
Filter Distribution Templates in Convolutional Networks for Image Classification Tasks—0
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence—0
Multimodal Contrastive Training for Visual Representation Learning—0
Less is more: Selecting informative and diverse subsets with balancing constraints—0
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
SGNet: A Super-class Guided Network for Image Classification and Object DetectionCode0
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification—0
ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification—0
Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid—0
Complex-valued reservoir computing for aspect classification and slope-angle estimation with low computational cost and high resolution in interferometric synthetic aperture radar—0
Mini-batch graphs for robust image classification—0
Stateless Neural Meta-Learning using Second-Order GradientsCode0
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics—0
Visual Analysis Motivated Rate-Distortion Model for Image Coding—0
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis—0
BraidNet: procedural generation of neural networks for image classification problems using braid theory—0
Quantum algorithms for SVD-based data representation and analysisCode0
A Framework using Contrastive Learning for Classification with Noisy Labels—0
Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor—0
Filtering Empty Camera Trap Images in Embedded SystemsCode0
Efficient and Generic 1D Dilated Convolution Layer for Deep LearningCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified