SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 651675 of 14581 papers

TitleStatusHype
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
TSception: A Deep Learning Framework for Emotion Detection Using EEGCode1
Supervised Learning with Quantum MeasurementsCode1
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture ImagingCode1
Editable Neural NetworksCode1
Semantic Drift Compensation for Class-Incremental LearningCode1
M2m: Imbalanced Classification via Major-to-minor TranslationCode1
Revisiting Pose-Normalization for Fine-Grained Few-Shot RecognitionCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
TResNet: High Performance GPU-Dedicated ArchitectureCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
Label-Efficient Learning on Point Clouds using Approximate Convex DecompositionsCode1
Can AI help in screening Viral and COVID-19 pneumonia?Code1
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point CloudsCode1
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
Negative Margin Matters: Understanding Margin in Few-shot ClassificationCode1
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?Code1
Circumventing Outliers of AutoAugment with Knowledge DistillationCode1
Multi-Label Text Classification using Attention-based Graph Neural NetworkCode1
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia ArticlesCode1
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capabilityCode1
BoostTree and BoostForest for Ensemble LearningCode1
Selecting Relevant Features from a Multi-domain Representation for Few-shot ClassificationCode1
Detecting Deepfakes with Metric LearningCode1
Conditional Gaussian Distribution Learning for Open Set RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified
2XBNETAccuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified