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
Invariant Risk MinimizationCode1
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
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks—0
Fooling a Real Car with Adversarial Traffic Signs—0
Unsupervised predictive coding models may explain visual brain representationCode0
Learning from Web Data with Self-Organizing Memory Module—0
On the notion of number in humans and machinesCode0
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image ClassificationCode0
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
Learning Data Augmentation Strategies for Object DetectionCode1
AGAN: Towards Automated Design of Generative Adversarial Networks—0
Active Learning Solution on Distributed Edge Computing—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
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial VehiclesCode1
Understanding More about Human and Machine Attention in Deep Neural Networks—0
Unsupervised Learning of Object Keypoints for Perception and ControlCode1
The Functional Neural ProcessCode0
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object DetectionCode0
XNAS: Neural Architecture Search with Expert AdviceCode1
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
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesCode1
Active Generative Adversarial Network for Image Classification—0
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine—0
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral ImagesCode0
Mixture separability loss in a deep convolutional network for image classification—0
Equivariant neural networks and equivarificationCode0
SELFIE: Refurbishing Unclean Samples for Robust Deep LearningCode0
Fixing the train-test resolution discrepancyCode2
Adversarial Robustness Assessment: Why both L_0 and L_ Attacks Are NecessaryCode0
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
A Signal Propagation Perspective for Pruning Neural Networks at InitializationCode0
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation—0
Deep Learning Development Environment in Virtual RealityCode0
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training—0
Show:102550
← PrevPage 168 of 209Next →
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