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 3601–3650 of 10419 papers

TitleStatusHype
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
Deep Competitive Pathway NetworksCode0
Deep Combinatorial AggregationCode0
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
QSGD: Communication-Efficient SGD via Gradient Quantization and EncodingCode0
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial ExamplesCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
Quantile-based Maximum Likelihood Training for Outlier DetectionCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Quantum algorithms for SVD-based data representation and analysisCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasksCode0
Learning From Brains How to Regularize MachinesCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeedCode0
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve InterpretabilityCode0
Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based AggregationCode0
Adversarial Defense by Suppressing High-frequency ComponentsCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Deep Categorization with Semi-Supervised Self-Organizing MapsCode0
Automatic Recognition of Learning Resource Category in a Digital LibraryCode0
Ensembles of Vision Transformers as a New Paradigm for Automated Classification in EcologyCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Automatic Open-World Reliability AssessmentCode0
Automatic location detection based on deep learningCode0
Deep Asymmetric Multi-task Feature LearningCode0
Image Classification with Classic and Deep Learning TechniquesCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Image Classification with Hierarchical Multigraph NetworksCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Deep Adaptive Wavelet NetworkCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
EPIC: Explanation of Pretrained Image Classification Networks via PrototypeCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image ClassificationCode0
[Re] A Reproduction of Ensemble Distribution DistillationCode0
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
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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