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 10301–10350 of 10420 papers

TitleStatusHype
Comment on "Ensemble Projection for Semi-supervised Image Classification"—0
Sparse Graph-based Transduction for Image Classification—0
Label Consistent Fisher Vectors for Supervised Feature AggregationCode0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods—0
Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification—0
An landcover fuzzy logic classification by maximumlikelihood—0
Learning Discriminative Stein Kernel for SPD Matrices and Its ApplicationsCode0
Face Identification with Second-Order Pooling—0
Face Image Classification by Pooling Raw Features—0
Committees of deep feedforward networks trained with few data—0
CNN: Single-label to Multi-label—0
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual RecognitionCode0
Convolutional Kernel Networks—0
Deep Epitomic Convolutional Neural Networks—0
Generalized Max Pooling—0
Additive Quantization for Extreme Vector Compression—0
Compact Representation for Image Classification: To Choose or to Compress?—0
Fantope Regularization in Metric Learning—0
Histograms of Pattern Sets for Image Classification and Object Recognition—0
Random Laplace Feature Maps for Semigroup Kernels on Histograms—0
Product Sparse Coding—0
Learning Receptive Fields for Pooling from Tensors of Feature Response—0
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes—0
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks—0
Dirichlet-based Histogram Feature Transform for Image Classification—0
Incremental Learning of NCM Forests for Large-Scale Image Classification—0
Topic Modeling of Multimodal Data: An Autoregressive Approach—0
Transformation Pursuit for Image Classification—0
Seeing the Big Picture: Deep Embedding with Contextual Evidences—0
A Parallel Way to Select the Parameters of SVM Based on the Ant Optimization Algorithm—0
PCANet: A Simple Deep Learning Baseline for Image Classification?Code0
CNN Features off-the-shelf: an Astounding Baseline for RecognitionCode0
Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching—0
Multi-scale Orderless Pooling of Deep Convolutional Activation Features—0
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification—0
Large-margin Learning of Compact Binary Image Encodings—0
No more meta-parameter tuning in unsupervised sparse feature learning—0
Deeply Coupled Auto-encoder Networks for Cross-view Classification—0
Quantile Representation for Indirect Immunofluorescence Image Classification—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification—0
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification—0
A Study of Image Analysis with Tangent Distance—0
Satellite image classification and segmentation using non-additive entropy—0
Application of the Modified Fractal Signature Method for Terrain Classification from Synthetic Aperture Radar Images—0
One-Shot Adaptation of Supervised Deep Convolutional Models—0
Improving Deep Neural Networks with Probabilistic Maxout Units—0
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsCode0
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural NetworksCode0
Show:102550
← PrevPage 207 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