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 8351–8400 of 10420 papers

TitleStatusHype
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles—0
Deep Ensembles for Low-Data Transfer Learning—0
Deep Epitomic Convolutional Neural Networks—0
A Study on Transformer Configuration and Training Objective—0
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks—0
Deepfake Video Forensics based on Transfer Learning—0
Deep Feature Augmentation for Occluded Image Classification—0
Deep Features Analysis with Attention Networks—0
Deep Features for training Support Vector Machine—0
Deep FisherNet for Object Classification—0
Deep Fisher Networks for Large-Scale Image Classification—0
Deep Gaussian Processes with Convolutional Kernels—0
Deep Generative Modeling for Protein Design—0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments—0
Deep Hashing: A Joint Approach for Image Signature Learning—0
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture—0
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks—0
Deep Image Retrieval is not Robust to Label Noise—0
Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images—0
Joint Device-Edge Inference over Wireless Links with Pruning—0
Deep Kernel Learning via Random Fourier Features—0
Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia—0
Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey—0
Deep learning and face recognition: the state of the art—0
Deep learning and hand-crafted features for virus image classification—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models—0
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars—0
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey—0
Deep Learning At Scale and At Ease—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
ParasNet: Fast Parasites Detection with Neural Networks—0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Deep Learning based HEp-2 Image Classification: A Comprehensive Review—0
Deep Learning based Multi-Label Image Classification of Protest Activities—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Deep Learning Classification With Noisy Labels—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers—0
Deep Learning for Apple Diseases: Classification and Identification—0
Deep learning for classification of noisy QR codes—0
Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X—0
Deep Learning For Computer Vision Tasks: A review—0
Deep Learning for Hyperspectral Image Classification: An Overview—0
Deep learning for lithological classification of carbonate rock micro-CT images—0
Deep Learning for Logo Recognition—0
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients—0
Deep Learning Framework for Multi-class Breast Cancer Histology Image 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