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 997610000 of 10420 papers

TitleStatusHype
Deep FisherNet for Object Classification0
Can a CNN Recognize Catalan Diet?0
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification0
A probabilistic patch based image representation using Conditional Random Field model for image classification0
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons0
Information-theoretical label embeddings for large-scale image classification0
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?0
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification0
DSD: Dense-Sparse-Dense Training for Deep Neural NetworksCode0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset0
Combining multiple resolutions into hierarchical representations for kernel-based image classification0
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
CUNet: A Compact Unsupervised Network for Image Classification0
A Distributed Deep Representation Learning Model for Big Image Data Classification0
NIST: An Image Classification Network to Image Semantic Retrieval0
Zero-Shot Learning with Multi-Battery Factor Analysis0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning0
Explaining Predictions of Non-Linear Classifiers in NLPCode1
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions0
Non-convex regularization in remote sensingCode0
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification0
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and EstimationCode0
Deep Learning for Identifying Metastatic Breast CancerCode0
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration0
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach0
Show:102550
← PrevPage 400 of 417Next →

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