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 9601–9650 of 10420 papers

TitleStatusHype
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image MatchingCode1
Remote Sensing Image Classification with Large Scale Gaussian Processes—0
Locally-Transferred Fisher Vectors for Texture Classification—0
Deep Scene Image Classification With the MFAFVNet—0
Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks—0
Scene Categorization With Spectral Features—0
Pyramidal RoR for Image Classification—0
Welding Defect Classification Based on Convolution Neural Network (CNN) and Gaussian Kernel—0
Unsupervised Classification of Intrusive Igneous Rock Thin Section Images using Edge Detection and Colour Analysis—0
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization—0
Deep Competitive Pathway NetworksCode0
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images—0
Connectivity Learning in Multi-Branch Networks—0
Output Range Analysis for Deep Neural Networks—0
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN—0
Attribute Recognition by Joint Recurrent Learning of Context and Correlation—0
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification—0
Machine Learning Models that Remember Too MuchCode0
SwGridNet: A Deep Convolutional Neural Network based on Grid Topology for Image ClassificationCode0
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks—0
Estimated Depth Map Helps Image ClassificationCode0
Triangle Generative Adversarial NetworksCode0
Verifying Properties of Binarized Deep Neural Networks—0
Wide and deep volumetric residual networks for volumetric image classification—0
Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition—0
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
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