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 97769800 of 10420 papers

TitleStatusHype
Deep Multi-view Models for Glitch Classification0
Decision Stream: Cultivating Deep Decision TreesCode1
Residual Attention Network for Image ClassificationCode0
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN FusionCode0
Understanding the Mechanisms of Deep Transfer Learning for Medical Images0
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn0
Universal Adversarial Perturbations Against Semantic Image Segmentation0
Sparse Communication for Distributed Gradient DescentCode1
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification0
Close Yet Distinctive Domain Adaptation0
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks0
Unsupervised part learning for visual recognition0
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image ClassificationCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
Fine-graind Image Classification via Combining Vision and Language0
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scaleCode0
Supervised Infinite Feature SelectionCode0
Enhancing Robustness of Machine Learning Systems via Data Transformations0
Encoder Based Lifelong Learning0
Object-Part Attention Model for Fine-grained Image ClassificationCode0
On Generalization and Regularization in Deep Learning0
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features0
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image ClassificationCode0
Truncating Wide Networks using Binary Tree ArchitecturesCode0
A Genetic Programming Approach to Designing Convolutional Neural Network ArchitecturesCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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