SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9201–9225 of 14581 papers

TitleStatusHype
Towards Visual Semantics—0
Towards well-specified semi-supervised model-based classifiers via structural adaptation—0
Toward the Automatic Classification of Self-Affirmed Refactoring—0
Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement—0
ToxCCIn: Toxic Content Classification with Interpretability—0
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings—0
TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification—0
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition—0
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters—0
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning—0
TRADI: Tracking deep neural network weight distributions for uncertainty estimation—0
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale—0
Traffic-Sign Detection and Classification in the Wild—0
Trainable Activation Function in Image Classification—0
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning—0
Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q—0
Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data—0
Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples—0
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision—0
Training CNNs with Low-Rank Filters for Efficient Image Classification—0
Training Convolutional Networks with Noisy Labels—0
Training Convolutional Networks with Web Images—0
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization—0
Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments—0
Training few-shot classification via the perspective of minibatch and pretraining—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

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