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

Showing 98019825 of 10420 papers

TitleStatusHype
Tube Convolutional Neural Network (T-CNN) for Action Detection in VideosCode0
Bundle Optimization for Multi-aspect Embedding0
Multi-Scale Dense Networks for Resource Efficient Image ClassificationCode1
Active Convolution: Learning the Shape of Convolution for Image ClassificationCode0
Scaling the Scattering Transform: Deep Hybrid NetworksCode0
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos0
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image ClassificationCode1
Cross-View Image Matching for Geo-localization in Urban EnvironmentsCode0
Knowledge Transfer for Melanoma Screening with Deep LearningCode0
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes0
Knowledge distillation using unlabeled mismatched images0
Second-order Convolutional Neural Networks0
Curriculum DropoutCode0
PatternNet: Visual Pattern Mining with Deep Neural Network0
From visual words to a visual grammar: using language modelling for image classification0
Random Forests and VGG-NET: An Algorithm for the ISIC 2017 Skin Lesion Classification Challenge0
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge0
Convolutional Low-Resolution Fine-Grained Classification0
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features0
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks0
Evaluating Deep Convolutional Neural Networks for Material Classification0
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation0
Deep Learning applied to NLPCode0
Learning to Remember Rare EventsCode0
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified