SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 10601–10650 of 14581 papers

TitleStatusHype
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability—0
Fingerprint Classification Based on Depth Neural Network—0
Fingerprint liveness detection using local quality features—0
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures—0
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection—0
First Approaches on Spanish Medical Record Classification Using Diagnostic Term to Class Transduction—0
First-Person Activity Recognition: What Are They Doing to Me?—0
First-Person Perceptual Guidance Behavior Decomposition using Active Constraint Classification—0
First Steps Toward CNN based Source Classification of Document Images Shared Over Messaging App—0
Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture—0
Fixed-point Factorized Networks—0
Fixed-size Objects Encoding for Visual Relationship Detection—0
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs—0
Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks—0
Flexible High-dimensional Classification Machines and Their Asymptotic Properties—0
Flexibly Fair Representation Learning by Disentanglement—0
FlexTag: A Highly Flexible PoS Tagging Framework—0
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer—0
Flip-Invariant Motion Representation—0
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification—0
Flower Categorization using Deep Convolutional Neural Networks—0
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing—0
Flying Insect Classification with Inexpensive Sensors—0
Flying Objects Detection from a Single Moving Camera—0
fMRI: preprocessing, classification and pattern recognition—0
FOC OSOD: Focus on Classification One-Shot Object Detection—0
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery—0
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention—0
FOI DSS at SemEval-2018 Task 1: Combining LSTM States, Embeddings, and Lexical Features for Affect Analysis—0
Foldover Features for Dynamic Object Behavior Description in Microscopic Videos—0
FoodNet: Recognizing Foods Using Ensemble of Deep Networks—0
Food Recognition using Fusion of Classifiers based on CNNs—0
Fooling Computer Vision into Inferring the Wrong Body Mass Index—0
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks—0
Forecastable Component Analysis (ForeCA)—0
Forecasting in multivariate irregularly sampled time series with missing values—0
Foreground segmentation based on multi-resolution and matting—0
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks—0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation—0
Formulating Queries for Collecting Training Examples in Visual Concept Classification—0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Forward and Backward Knowledge Transfer for Sentiment Classification—0
Forward Stagewise Additive Model for Collaborative Multiview Boosting—0
Fourier Transform Approach to Machine Learning III: Fourier Classification—0
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review—0
Fractal descriptors based on the probability dimension: a texture analysis and classification approach—0
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension—0
Fractal dimension analysis for automatic morphological galaxy classification—0
Fractionally-Supervised Classification—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