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 10151–10200 of 10420 papers

TitleStatusHype
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data—0
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval—0
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy—0
INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks—0
Local Color Contrastive Descriptor for Image Classification—0
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units—0
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification—0
Neural NILM: Deep Neural Networks Applied to Energy DisaggregationCode0
Training Very Deep NetworksCode1
Towards Effective Codebookless Model for Image Classification—0
Feature Representation in Convolutional Neural Networks—0
DCTNet : A Simple Learning-free Approach for Face Recognition—0
Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift—0
Recipe recognition with large multimodal food datasetCode0
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures—0
Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification—0
Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision—0
Online Learning to Sample—0
Network Representation Learning with Rich Text InformationCode0
Histopathological Image Classification using Discriminative Feature-oriented Dictionary LearningCode0
Multi-path Convolutional Neural Networks for Complex Image ClassificationCode0
On-the-Job Learning with Bayesian Decision TheoryCode0
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet—0
Stacked What-Where Auto-encodersCode0
Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions—0
Exemplar SVMs as Visual Feature Encoders—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
Deep Multiple Instance Learning for Image Classification and Auto-Annotation—0
Learning Graph Structure for Multi-Label Image Classification via Clique Generation—0
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement—0
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection—0
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting—0
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding—0
Learning From Massive Noisy Labeled Data for Image Classification—0
Sparse Projections for High-Dimensional Binary Codes—0
Saliency Detection by Multi-Context Deep Learning—0
Tree Quantization for Large-Scale Similarity Search and Classification—0
Transformation-Invariant Convolutional Jungles—0
Three Viewpoints Toward Exemplar SVM—0
Sparse Convolutional Neural Networks—0
CURL: Co-trained Unsupervised Representation Learning for Image Classification—0
Domain-Adversarial Training of Neural NetworksCode1
Efficient Large Scale Video Classification—0
Multi-scale recognition with DAG-CNNs—0
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature MapsCode0
Improving Image Classification with Location Context—0
APAC: Augmented PAttern Classification with Neural Networks—0
Automatic Script Identification in the Wild—0
Empirical Evaluation of Rectified Activations in Convolutional NetworkCode0
ReNet: A Recurrent Neural Network Based Alternative to Convolutional NetworksCode0
Show:102550
← PrevPage 204 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
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