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 10001–10050 of 10420 papers

TitleStatusHype
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations—0
Detecting Visually Relevant Sentences for Fine-Grained Classification—0
Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition—0
Deep FisherNet for Object Classification—0
Can a CNN Recognize Catalan Diet?—0
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons—0
Information-theoretical label embeddings for large-scale image classification—0
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?—0
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification—0
DSD: Dense-Sparse-Dense Training for Deep Neural NetworksCode0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset—0
Combining multiple resolutions into hierarchical representations for kernel-based image classification—0
CUNet: A Compact Unsupervised Network for Image Classification—0
A Distributed Deep Representation Learning Model for Big Image Data Classification—0
NIST: An Image Classification Network to Image Semantic Retrieval—0
Zero-Shot Learning with Multi-Battery Factor Analysis—0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning—0
Non-convex regularization in remote sensingCode0
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions—0
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification—0
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and EstimationCode0
Deep Learning for Identifying Metastatic Breast CancerCode0
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration—0
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach—0
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning—0
Adversarial Perturbations Against Deep Neural Networks for Malware Classification—0
Convolutional Neural Fabrics—0
Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)—0
Integrated perception with recurrent multi-task neural networks—0
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural NetworksCode0
Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis—0
Region Ranking SVM for Image Classification—0
Deep Decision Network for Multi-Class Image Classification—0
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification—0
Conditional Graphical Lasso for Multi-Label Image Classification—0
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity—0
Hierarchical Gaussian Descriptor for Person Re-Identification—0
PPP: Joint Pointwise and Pairwise Image Label Prediction—0
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings—0
FractalNet: Ultra-Deep Neural Networks without ResidualsCode0
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification—0
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks—0
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification—0
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure PredictionCode0
Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines—0
Distributed stochastic optimization for deep learning (thesis)—0
Image Colorization Using a Deep Convolutional Neural Network—0
Deep Learning with Eigenvalue Decay RegularizerCode0
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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