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 5326–5350 of 10420 papers

TitleStatusHype
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification—0
Embedding of FRPN in CNN architecture—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence—0
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization—0
Embedding Deep Networks into Visual Explanations—0
Embedding Complementary Deep Networks for Image Classification—0
A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food—0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning—0
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification—0
ElegansNet: a brief scientific report and initial experiments—0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision—0
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints—0
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features—0
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis—0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem—0
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
Adversarial Attacks on Binary Image Recognition Systems—0
A Comprehensive Literature Review on Sweet Orange Leaf Diseases—0
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour—0
Chest X-ray Image Classification: A Causal Perspective—0
Efficient Whole Slide Image Classification through Fisher Vector Representation—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—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
10RevCol-HTop 1 Accuracy90—Unverified