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 9626–9650 of 10420 papers

TitleStatusHype
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training—0
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural NetworksCode0
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification—0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks—0
Embedding Deep Networks into Visual Explanations—0
Informed Non-convex Robust Principal Component Analysis with Features—0
Joint Learning of Set Cardinality and State Distribution—0
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models—0
MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks—0
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification—0
Reversible Architectures for Arbitrarily Deep Residual Neural NetworksCode1
One-Shot Learning for Semantic SegmentationCode1
Art of singular vectors and universal adversarial perturbations—0
Institutionally Distributed Deep Learning Networks—0
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic DataCode0
Optimal Transport for Deep Joint Transfer Learning—0
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification—0
Real-time convolutional networks for sonar image classification in low-power embedded systems—0
Synthetic Medical Images from Dual Generative Adversarial NetworksCode0
Visualizing and Improving Scattering Networks—0
Squeeze-and-Excitation NetworksCode1
Lensless-camera based machine learning for image classification—0
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders—0
Data Augmentation for Visual Question Answering—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—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