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 4326–4350 of 10420 papers

TitleStatusHype
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning—0
Deep Neural Network Approximation Theory—0
Deep Networks with Fast Retraining—0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
Towards Robust Deep Active Learning for Scientific Computing—0
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis—0
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis—0
Deep Multi-view Models for Glitch Classification—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification—0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
Deep Multi-Task Learning for Malware Image Classification—0
Deep multi-survey classification of variable stars—0
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Deep multi-prototype capsule networks—0
Deep Multiple Instance Learning for Image Classification and Auto-Annotation—0
Basic Thresholding Classification—0
A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma—0
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics—0
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning—0
Deep multi-class learning from label proportions—0
Band Attention Convolutional Networks For Hyperspectral Image Classification—0
A Multi-modal Approach to Single-modal Visual Place Classification—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
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