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 8501–8550 of 10420 papers

TitleStatusHype
Batch-Shaping for Learning Conditional Channel Gated NetworksCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN—0
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection—0
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving—0
Introduction to Camera Pose Estimation with Deep Learning—0
Revisiting Metric Learning for Few-Shot Image Classification—0
Towards Debugging Deep Neural Networks by Generating Speech UtterancesCode0
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
Multi-Instance Multi-Scale CNN for Medical Image Classification—0
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture SearchCode0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
Low-Rank Subspace Override for Unsupervised Domain AdaptationCode0
An Automated Ensemble Learning Framework Using Genetic Programming for Image ClassificationCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Learning to aggregate feature representations—0
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter OptimizationCode0
Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion—0
Unsupervised predictive coding models may explain visual brain representationCode0
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks—0
Fooling a Real Car with Adversarial Traffic Signs—0
Learning from Web Data with Self-Organizing Memory Module—0
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image ClassificationCode0
On the notion of number in humans and machinesCode0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification—0
Active Learning Solution on Distributed Edge Computing—0
AGAN: Towards Automated Design of Generative Adversarial Networks—0
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised LearningCode0
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network—0
Posterior-Guided Neural Architecture SearchCode0
Densely Connected Search Space for More Flexible Neural Architecture SearchCode0
Database Meets Deep Learning: Challenges and Opportunities—0
Understanding More about Human and Machine Attention in Deep Neural Networks—0
Automatic estimation of heading date of paddy rice using deep learning—0
A simple and effective postprocessing method for image classification—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object DetectionCode0
The Functional Neural ProcessCode0
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral ImagesCode0
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine—0
Active Generative Adversarial Network for Image Classification—0
Equivariant neural networks and equivarificationCode0
Mixture separability loss in a deep convolutional network for image classification—0
SELFIE: Refurbishing Unclean Samples for Robust Deep LearningCode0
Adversarial Robustness Assessment: Why both L_0 and L_ Attacks Are NecessaryCode0
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation—0
A Signal Propagation Perspective for Pruning Neural Networks at InitializationCode0
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training—0
Deep Learning Development Environment in Virtual RealityCode0
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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