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awesome-weak-supervision
Repository consisting of important research papers on weak supervision - Image, Audio, Video
https://github.com/ankitshah009/awesome-weak-supervision
Last synced: 4 days ago
JSON representation
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GitHub Repositories
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Research Papers
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Core Areas
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Learning formulation
- Weakly supervised scalable audio content analysis
- An approach for self-training audio event detectors using web data
- A joint detection-classification model for audio tagging of weakly labelled data
- Connectionist Temporal Localization for Sound Event Detection with Sequential Labeling
- A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
- Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound Event Detection
- Duration robust weakly supervised sound event detection
- SeCoST:: Sequential Co-Supervision for Large Scale Weakly Labeled Audio Event Detection
- Guided Learning for Weakly-Labeled Semi-Supervised Sound Event Detection
- Unsupervised Contrastive Learning of Sound Event Representations
- Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events
- Unsupervised Contrastive Learning of Sound Event Representations
- Audio Event Detection using Weakly Labeled Data
- Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection
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Network Architecture
- Weakly-supervised audio event detection using event-specific Gaussian filters and fully convolutional networks
- Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data
- Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network
- Orthogonality-Regularized Masked NMF for Learning on Weakly Labeled Audio Data
- Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes
- Sound Event Detection of Weakly Labelled Data With CNN-Transformer and Automatic Threshold Optimization
- DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification
- Effective Perturbation based Semi-Supervised Learning Method for Sound Event Detection
- Weakly-Supervised Sound Event Detection with Self-Attention
- Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations
- An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
- AST: Audio Spectrogram Transformer
- Sound event detection and time–frequency segmentation from weakly labelled data
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Pooling functions
- Frequency-dependent auto-poolingfunction for weakly supervised sound event detection
- Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks
- Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection
- Weakly labelled audioset tagging with attention neural networks
- Adaptive Pooling Operators for Weakly Labeled Sound Event Detection
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Generative Learning:
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Representation Learning
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Multi-Task Learning
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Knowledge Transfer
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Polyphonic SED
- Polyphonic Sound Event Detection with Weak Labeling
- Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
- Evaluation of Post-Processing Algorithms for Polyphonic Sound Event Detection
- Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection
- A first attempt at polyphonic sound event detection using connectionist temporal classification
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Joint task
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Loss function
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Extension
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Multimodal Audio and Visual
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Multimodal Audio and Text
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Strongly and Weakly labelled data
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Others
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Dataset
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Workshops/Conferences/Journals
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Resources
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Credits
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Others
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Programming Languages
Categories
Sub Categories
Learning formulation
14
Network Architecture
13
Others
12
Pooling functions
5
Polyphonic SED
5
Knowledge Transfer
3
Multimodal Audio and Visual
2
Joint task
2
Representation Learning
2
Multi-Task Learning
2
Generative Learning:
1
Strongly and Weakly labelled data
1
Multimodal Audio and Text
1
Loss function
1