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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8051–8100 of 10420 papers

TitleStatusHype
Benchmarking Adversarial Robustness—0
Competing Ratio Loss for Discriminative Multi-class Image ClassificationCode0
Effective Data Augmentation with Multi-Domain Learning GANs—0
Learn to Segment Retinal Lesions and BeyondCode0
Adversarial AutoAugment—0
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants—0
Deep Manifold Embedding for Hyperspectral Image ClassificationCode0
A Deep Neuro-Fuzzy Network for Image ClassificationCode0
Learning to Impute: A General Framework for Semi-supervised LearningCode0
Multimodal Prediction based on Graph Representations—0
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic ConsolidationCode0
A New Ensemble Method for Concessively Targeted Multi-model Attack—0
Making Better Mistakes: Leveraging Class Hierarchies with Deep NetworksCode0
Towards Verifying Robustness of Neural Networks Against Semantic PerturbationsCode0
Image Analytics for Legal Document Review: A Transfer Learning Approach—0
ResNetX: a more disordered and deeper network architecture—0
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift—0
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification—0
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning—0
Continuous Meta-Learning without TasksCode0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
Disentanglement based Active LearningCode0
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure—0
Recurrent Highway Networks with Grouped Auxiliary MemoryCode0
TopoAct: Visually Exploring the Shape of Activations in Deep LearningCode0
Towards Partial Supervision for Generic Object Counting in Natural ScenesCode0
Meta-Learning Initializations for Image SegmentationCode0
Parting with Illusions about Deep Active Learning—0
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification—0
Label Consistent Transform Learning for Hyperspectral Image Classification—0
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
Associative Alignment for Few-shot Image ClassificationCode0
Feature Losses for Adversarial Robustness—0
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning abilityCode0
Appending Adversarial Frames for Universal Video Attack—0
SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationCode0
Deep Adaptive Wavelet NetworkCode0
Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning—0
Selective Synthetic Augmentation with Quality Assurance—0
Naive Gabor Networks for Hyperspectral Image Classification—0
Meta-Learning without MemorizationCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
Principal Component Properties of Adversarial Samples—0
Dynamic Convolution: Attention over Convolution KernelsCode0
An Empirical Study on the Relation between Network Interpretability and Adversarial RobustnessCode0
Improved Few-Shot Visual Classification—0
Sampling-Free Learning of Bayesian Quantized Neural Networks—0
ClusterFit: Improving Generalization of Visual RepresentationsCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified