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
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
Recurrent Models of Visual AttentionCode1
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
Incremental Learning of NCM Forests for Large-Scale Image Classification—0
Transformation Pursuit for Image Classification—0
Topic Modeling of Multimodal Data: An Autoregressive Approach—0
Additive Quantization for Extreme Vector Compression—0
Compact Representation for Image Classification: To Choose or to Compress?—0
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks—0
Dirichlet-based Histogram Feature Transform for Image Classification—0
Histograms of Pattern Sets for Image Classification and Object Recognition—0
Fantope Regularization in Metric Learning—0
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes—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
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
OverFeat: Integrated Recognition, Localization and Detection using Convolutional NetworksCode1
One-Shot Adaptation of Supervised Deep Convolutional Models—0
Occupancy Detection in Vehicles Using Fisher Vector Image Representation—0
Sequentially Generated Instance-Dependent Image Representations for Classification—0
Improving Deep Neural Networks with Probabilistic Maxout Units—0
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural NetworksCode0
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsCode0
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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