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

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Showing 876–900 of 10419 papers

TitleStatusHype
AdaptiveMix: Improving GAN Training via Feature Space ShrinkageCode1
Adaptive and Background-Aware Vision Transformer for Real-Time UAV TrackingCode1
ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud ClassificationCode1
A General Regret Bound of Preconditioned Gradient Method for DNN TrainingCode1
FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss FunctionCode1
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer NormalizationCode1
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced DataCode1
Learning Multimodal Data Augmentation in Feature SpaceCode1
Shape-Aware Fine-Grained Classification of Erythroid CellsCode1
Image Classification with Small Datasets: Overview and BenchmarkCode1
On Calibrating Semantic Segmentation Models: Analyses and An AlgorithmCode1
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationCode1
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain GeneralizationCode1
Convolution-enhanced Evolving Attention NetworksCode1
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelCode1
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and LanguageCode1
Reproducible scaling laws for contrastive language-image learningCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
Regularized Optimal Transport Layers for Generalized Global Pooling OperationsCode1
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
DISCO: Adversarial Defense with Local Implicit FunctionsCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive LearningCode1
PØDA: Prompt-driven Zero-shot Domain AdaptationCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
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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