Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review

Github: https://github.com/Ildaron/Laser_control

Paper: https://www.mdpi.com/2072-4292/13/21/4486

@ArtificialIntelligencedl
Theoretical and empirical analysis of a fast algorithm for extracting polygons from signed distance bounds

Github: https://github.com/nenadmarkus/gridhopping

Paper: https://arxiv.org/abs/2111.05778v1

@ArtificialIntelligencedl
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity

Github:https://github.com/pritamqu/CrissCross

Paper: https://arxiv.org/abs/2111.05329v1

Project: https://pritamqu.github.io/CrissCross/

@ArtificialIntelligencedl
🔐 Enhanced Membership Inference Attacks against Machine Learning Models

Github: https://github.com/privacytrustlab/ml_privacy_meter

Paper: https://arxiv.org/abs/2111.09679v1

@ArtificialIntelligencedl
🎼 KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing

Github: https://github.com/kuielab/mdx-net

Paper: hhttps://arxiv.org/abs/2111.12203v1

Dataset: https://paperswithcode.com/dataset/musdb18

@ArtificialIntelligencedl
COIN is the currently largest dataset for comprehensive instruction video analysis

Github: https://github.com/coin-dataset/annotations

Paper: https://arxiv.org/abs/2111.13813v1


@ArtificialIntelligencedl
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning

Github: https://github.com/JDAI-CV/faceX-Zoo

Paper: https://arxiv.org/abs/2112.00568v1

Dataset: https://paperswithcode.com/dataset/replay-attack

@ArtificialIntelligencedl