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 6751–6775 of 10420 papers

TitleStatusHype
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Deep learning and hand-crafted features for virus image classification—0
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults—0
Automatic Open-World Reliability AssessmentCode0
Semi-supervised Sparse Representation with Graph Regularization for Image Classification—0
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationCode1
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data—0
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification—0
Ontology-driven Event Type Classification in ImagesCode0
Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism—0
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—0
When Optimizing f-divergence is Robust with Label NoiseCode1
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder—0
Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association—0
Channel Pruning via Multi-Criteria based on Weight Dependency—0
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction—0
Confusable Learning for Large-class Few-Shot Classification—0
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion AnalysisCode0
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning—0
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGACode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Subtensor Quantization for Mobilenets—0
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified