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 85768600 of 10420 papers

TitleStatusHype
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images0
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification TasksCode0
MixMatch: A Holistic Approach to Semi-Supervised LearningCode1
Searching for MobileNetV3Code1
Deep Visual City Recognition VisualizationCode0
Edge-labeling Graph Neural Network for Few-shot LearningCode0
Bilinear discriminant feature line analysis for image feature extraction0
DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance LevelCode0
Parity Models: A General Framework for Coding-Based Resilience in ML Inference0
Billion-scale semi-supervised learning for image classificationCode1
Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping0
On Expected Accuracy0
Fast AutoAugmentCode1
Probabilistic Model-Based Dynamic Architecture Search0
Radial Basis Feature Transformation to Arm CNNs Against Adversarial Attacks0
Probabilistic Federated Neural Matching0
Graph Classification with Geometric Scattering0
A Synaptic Neural Network and Synapse LearningCode0
Asynchronous SGD without gradient delay for efficient distributed training0
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS0
FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS0
Contextual Recurrent Convolutional Model for Robust Visual Learning0
Model Compression with Generative Adversarial Networks0
Deep Ensemble Bayesian Active Learning : Adressing the Mode Collapse issue in Monte Carlo dropout via Ensembles0
Causal importance of orientation selectivity for generalization in image recognitionCode0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified