SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4701–4725 of 14581 papers

TitleStatusHype
Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation—0
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema—0
Semantic segmentation of mFISH images using convolutional networks—0
Semantic segmentation of trajectories with agent models—0
Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures—0
SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning—0
Semantic Similarity Strategies for Job Title Classification—0
Semantic Softmax Loss for Zero-Shot Learning—0
Model Robustness with Text Classification: Semantic-preserving adversarial attacks—0
Semantic Term "Blurring" and Stochastic "Barcoding" for Improved Unsupervised Text Classification—0
Semantic tracking: Single-target tracking with inter-supervised convolutional networks—0
Semantic Type Classification of Common Words in Biomedical Noun Phrases—0
SEMBED: Semantic Embedding of Egocentric Action Videos—0
Semblance: A Rank-Based Kernel on Probability Spaces for Niche Detection—0
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals—0
SemEval-2018 Task 1: Affect in Tweets—0
SemEval-2018 Task 3: Irony Detection in English Tweets—0
SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers—0
Towards NLP with Deep Learning: Convolutional Neural Networks and Recurrent Neural Networks for Offensive Language Identification in Social Media—0
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis—0
Semi-Anchored Detector for One-Stage Object Detection—0
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network—0
Semi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification—0
Semi-Automatic Data Annotation guided by Feature Space Projection—0
Semidefinite and Spectral Relaxations for Multi-Label Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified