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 6251–6275 of 10420 papers

TitleStatusHype
MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification—0
Test-time Batch Statistics Calibration for Covariate Shift—0
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models—0
Spectral Bias in Practice: The Role of Function Frequency in Generalization—0
Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery—0
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric TransformationsCode0
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization—0
Effectiveness of Optimization Algorithms in Deep Image ClassificationCode0
Improving Axial-Attention Network Classification via Cross-Channel Weight SharingCode0
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization—0
WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification—0
Automated Seed Quality Testing System using GAN & Active LearningCode0
Perturbated Gradients Updating within Unit Space for Deep LearningCode0
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder—0
Transferability Estimation for Semantic Segmentation Task—0
Compositional Training for End-to-End Deep AUC Maximization—0
FedBABU: Toward Enhanced Representation for Federated Image Classification—0
Feature Kernel Distillation—0
Are Vision Transformers Robust to Patch-wise Perturbations?—0
AAVAE: Augmentation-Augmented Variational Autoencoders—0
Ontology-Driven Semantic Alignment of Artificial Neurons and Visual Concepts—0
A precortical module for robust CNNs to light variations—0
EXPLAINABLE AI-BASED DYNAMIC FILTER PRUNING OF CONVOLUTIONAL NEURAL NETWORKS—0
Clustered Task-Aware Meta-Learning by Learning from Learning PathsCode0
Sphere2Vec: Self-Supervised Location Representation Learning on Spherical Surfaces—0
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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