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 2651–2675 of 10420 papers

TitleStatusHype
Classification of Lung Pathologies in Neonates using Dual Tree Complex Wavelet Transform—0
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models—0
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification—0
Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers—0
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features—0
Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks—0
Adversarial AutoAugment—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification—0
Effects of Auxiliary Knowledge on Continual Learning—0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System—0
Classification of breast cancer histology images using transfer learning—0
A 1Mb mixed-precision quantized encoder for image classification and patch-based compression—0
Anticipating Future Object Compositions without Forgetting—0
Classification for everyone : Building geography agnostic models for fairer recognition—0
An Efficient Pre-processing Method to Eliminate Adversarial Effects—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
Classification-driven Single Image Dehazing—0
Classification-Driven Dynamic Image Enhancement—0
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits—0
Classification Driven Dynamic Image Enhancement—0
Classification-Denoising Networks—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
Show:102550
← PrevPage 107 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