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 86018650 of 10420 papers

TitleStatusHype
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of NetworksCode0
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient MatchingCode0
Efficient Global Neural Architecture SearchCode0
Efficient Feature Compression for Edge-Cloud SystemsCode0
Efficient Dynamic Attention 3D Convolution for Hyperspectral Image ClassificationCode0
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene ImagesCode0
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"Code0
Group Downsampling with Equivariant Anti-aliasingCode0
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNetCode0
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceCode0
Fourier Transform Approximation as an Auxiliary Task for Image ClassificationCode0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Efficient Decentralized Deep Learning by Dynamic Model AveragingCode0
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
A Data-Driven Measure of Relative Uncertainty for Misclassification DetectionCode0
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification AcceleratorCode0
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Efficient CNN Architecture Design Guided by VisualizationCode0
Guarantees of confidentiality via Hammersley-Chapman-Robbins boundsCode0
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial AttacksCode0
Context-Gated ConvolutionCode0
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time AppsCode0
Context-Aware Compilation of DNN Training Pipelines across Edge and CloudCode0
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means FeaturesCode0
H²O: Heatmap by Hierarchical OcclusionCode0
Reproduction Report on "Learn to Pay Attention"Code0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
Efficient Automatic Machine Learning via Design GraphsCode0
Constrained Linear Data-feature Mapping for Image ClassificationCode0
Constrained Labeling for Weakly Supervised LearningCode0
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized RecommendationCode0
Efficient Architecture Search by Network TransformationCode0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
Pyramid Adversarial Training Improves ViT PerformanceCode0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
Membership Inference Attacks on Lottery Ticket NetworksCode0
Hard Negative Sample Mining for Whole Slide Image ClassificationCode0
Efficient and Generic 1D Dilated Convolution Layer for Deep LearningCode0
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone NetworksCode0
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin DynamicsCode0
Hardware Resilience Properties of Text-Guided Image ClassifiersCode0
Memorization Capacity of Multi-Head Attention in TransformersCode0
Augmenting Data with Mixup for Sentence Classification: An Empirical StudyCode0
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning ModelsCode0
Effects of Degradations on Deep Neural Network ArchitecturesCode0
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological DataCode0
Harnessing Adversarial Distances to Discover High-Confidence ErrorsCode0
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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