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 45514575 of 10420 papers

TitleStatusHype
Hardware Resilience Properties of Text-Guided Image ClassifiersCode0
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and TransparencyCode0
H²O: Heatmap by Hierarchical OcclusionCode0
Atlas: A Dataset and Benchmark for E-commerce Clothing Product CategorizationCode0
A Signal Propagation Perspective for Pruning Neural Networks at InitializationCode0
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial AttacksCode0
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time AppsCode0
A Separable Self-attention Inspired by the State Space Model for Computer VisionCode0
A Hierarchical Grocery Store Image Dataset with Visual and Semantic LabelsCode0
Concept-based explainability for an EEG transformer modelCode0
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNetCode0
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
Few-Shot Learning for Image Classification of Common FloraCode0
A Training Framework for Optimal and Stable Training of Polynomial Neural NetworksCode0
Graph-Based Global Reasoning NetworksCode0
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones imagesCode0
Learning to Minimize the Remainder in Supervised LearningCode0
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene ImagesCode0
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of NetworksCode0
Group Downsampling with Equivariant Anti-aliasingCode0
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic RetinopathyCode0
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationCode0
Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image ClassificationCode0
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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