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 9761000 of 10419 papers

TitleStatusHype
Capsule Network based Contrastive Learning of Unsupervised Visual RepresentationsCode1
Dynamic Graph Message Passing Networks for Visual RecognitionCode1
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 DiagnosisCode1
Visual Recognition with Deep Nearest CentroidsCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision TransformersCode1
DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep LearningCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationCode1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility ConstraintsCode1
Instance-Dependent Noisy Label Learning via Graphical ModellingCode1
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object DetectionCode1
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveCode1
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional AutoencodersCode1
Net2Brain: A Toolbox to compare artificial vision models with human brain responsesCode1
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion ModelCode1
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image ClassificationCode1
MixSKD: Self-Knowledge Distillation from Mixup for Image RecognitionCode1
Patching open-vocabulary models by interpolating weightsCode1
PatchDropout: Economizing Vision Transformers Using Patch DropoutCode1
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz NetworksCode1
Semi-Supervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation FrameworkCode1
Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image ClassificationCode1
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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