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 10351–10400 of 10420 papers

TitleStatusHype
Some Improvements on Deep Convolutional Neural Network Based Image ClassificationCode2
Generative NeuroEvolution for Deep Learning—0
Network In NetworkCode0
A Gabor block based Kernel Discriminative Common Vector (KDCV) approach using cosine kernels for Human Face Recognition—0
Human Face Recognition using Gabor based Kernel Entropy Component Analysis—0
Sensing-Aware Kernel SVM—0
Transfer Learning in a Transductive Setting—0
Deep Neural Networks for Object Detection—0
Deep Fisher Networks for Large-Scale Image Classification—0
Multi-Task Bayesian Optimization—0
Discriminative Transfer Learning with Tree-based Priors—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—0
Cross-Domain Sparse Coding—0
From Maxout to Channel-Out: Encoding Information on Sparse Pathways—0
Visualizing and Understanding Convolutional NetworksCode0
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods—0
CSIFT Based Locality-constrained Linear Coding for Image Classification—0
Generic Image Classification Approaches Excel on Face Recognition—0
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering—0
Thermal Human face recognition based on Haar wavelet transform and series matching technique—0
Satellite image classification methods and Landsat 5TM bands—0
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification—0
VSEM: An open library for visual semantics representation—0
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?—0
Regularization of Neural Networks using DropConnectCode0
Deep Learning using Linear Support Vector MachinesCode0
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images—0
Label-Embedding for Attribute-Based Classification—0
Learning Multiple Non-linear Sub-spaces Using K-RBMs—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
Probabilistic Label Trees for Efficient Large Scale Image Classification—0
Learning Structured Low-Rank Representations for Image Classification—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
Adaptive Active Learning for Image Classification—0
From Local Similarity to Global Coding: An Application to Image Classification—0
Learning Class-to-Image Distance with Object Matchings—0
Multipath Sparse Coding Using Hierarchical Matching Pursuit—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
Sparse Quantization for Patch Description—0
Supervised Kernel Descriptors for Visual Recognition—0
Semi-supervised Domain Adaptation with Instance Constraints—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Image Retrieval based on Bag-of-Words model—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Kernel Reconstruction ICA for Sparse Representation—0
Maxout NetworksCode0
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks—0
Stochastic Pooling for Regularization of Deep Convolutional Neural NetworksCode0
Learnable Pooling Regions for Image Classification—0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
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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