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 951–975 of 10419 papers

TitleStatusHype
A Conservative Approach for Unbiased Learning on Unknown BiasesCode1
Gradient-Guided Annealing for Domain GeneralizationCode1
Gradient Projection Memory for Continual LearningCode1
Gradient Surgery for Multi-Task LearningCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
A Toolkit for Generating Code Knowledge GraphsCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
Graph Convolutional Networks for Hyperspectral Image ClassificationCode1
A Simple Interpretable Transformer for Fine-Grained Image Classification and AnalysisCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
Compressing Features for Learning with Noisy LabelsCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
Confidence-aware multi-modality learning for eye disease screeningCode1
Continual atlas-based segmentation of prostate MRICode1
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
AutoDC: Automated data-centric processingCode1
Hard-Attention for Scalable Image ClassificationCode1
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
Harmonic Networks with Limited Training SamplesCode1
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy ImagesCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
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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