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 3651–3675 of 10420 papers

TitleStatusHype
Harnessing The Power of Attention For Patch-Based Biomedical Image Classification—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
MCNet: A crowd denstity estimation network based on integrating multiscale attention module—0
Diverse Feature Learning by Self-distillation and Reset—0
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover ClassificationCode0
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection—0
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation—0
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer VisionCode0
Multi-scale Unified Network for Image Classification—0
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks—0
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning—0
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification—0
Tiny Models are the Computational Saver for Large ModelsCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Histogram Layers for Neural Engineered FeaturesCode0
Task2Box: Box Embeddings for Modeling Asymmetric Task RelationshipsCode0
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer—0
CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming DataCode0
Multi-Task Learning with Multi-Task Optimization—0
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis—0
On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition—0
A Deep Learning Architectures for Kidney Disease Classification—0
Clean-image Backdoor Attacks—0
Do not trust what you trust: Miscalibration in Semi-supervised LearningCode0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Show:102550
← PrevPage 147 of 417Next →
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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified