General Classification
3930 papers with code • 11 benchmarks • 8 datasets
Algorithms trying to solve the general task of classification.
Benchmarks
These leaderboards are used to track progress in General Classification
Libraries
Use these libraries to find General Classification models and implementations
MNIST
Fashion-MNIST
Adult
iris
Hyper-Kvasir Dataset
Wine
Kvasir-Capsule
CVR
Latest papers
Visual Localization via Few-Shot Scene Region Classification
siyandong/src
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Visual (re)localization addresses the problem of estimating the 6-DoF (Degree of Freedom) camera pose of a query image captured in a known scene, which is a key building block of many computer vision and robotics applications.
On the Limitations of Continual Learning for Malware Classification
msrocean/continual-learning-malware
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To our surprise, continual learning methods significantly underperformed naive Joint replay of the training data in nearly all settings -- in some cases reducing accuracy by more than 70 percentage points.
USB: A Unified Semi-supervised Learning Benchmark for Classification
microsoft/semi-supervised-learning
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We further provide the pre-trained versions of the state-of-the-art neural models for CV tasks to make the cost affordable for further tuning.
Scalable Quantum Neural Networks for Classification
jindi0/sqnn
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The quantum feature extractors in the SQNN system are independent of each other, so one can flexibly use quantum devices of varying sizes, with larger quantum devices extracting more local features.
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners.
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
To the best of our knowledge, our work is the first to explore transductive few-shot video classification.
Large Scale Radio Frequency Signal Classification
We also introduce TorchSig, a signals processing machine learning toolkit that can be used to generate this dataset.
Visual Knowledge Tracing
nkondapa/visualknowledgetracing
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In this work, we propose a novel task of tracing the evolving classification behavior of human learners as they engage in challenging visual classification tasks.
Contributions of Shape, Texture, and Color in Visual Recognition
gyhandy/humanoid-vision-engine
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We use human experiments to confirm that both HVE and humans predominantly use some specific features to support the classification of specific classes (e. g., texture is the dominant feature to distinguish a zebra from other quadrupeds, both for humans and HVE).
Semi-Supervised Temporal Action Detection with Proposal-Free Masking
sauradip/spot
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Such a novel design effectively eliminates the dependence between localization and classification by cutting off the route for error propagation in-between.
