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DmitryRyumin / CVPR-2023-24-Papers

Star 270

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!

computer-vision deep-learning biometrics segmentation face-recognition pattern-recognition datasets autonomous-driving cvpr action-recognition gesture-recognition medical-image-processing shape-analysis image-synthesis self-supervised-learning scene-analysis multi-modal-learning video-synthesis cvpr2023 cvpr2024
  • Updated May 23, 2024
  • Python

DmitryRyumin / ICASSP-2023-24-Papers

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ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

signal-processing language-modeling speech-recognition image-generation vad face-recognition music-generation keyword-spotting semantic-segmentation asr denoising icassp domain-adaptation generative-models multimodal-learning spoken-language-understanding self-supervised-learning signal-restoration icassp2023 icassp2024
  • Updated May 23, 2024
  • Python

dipy / dipy

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DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

python tracking machine-learning medical-imaging registration neuroimaging segmentation bundles spherical-harmonics microstructure diffusion-mri neuroanatomy tractography dti denoising self-supervised-learning tractometry dki contextual-enhancement patch2self
  • Updated May 22, 2024
  • Python

EnnengYang / Awesome-Forgetting-in-Deep-Learning

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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

machine-learning reinforcement-learning deep-learning generative-model domain-adaptation meta-learning overfitting machine-unlearning federated-learning continual-learning catastrophic-forgetting self-supervised-learning model-inversion-attacks forgetting membership-inference-attacks coreset-selection data-free-knolwedge-distillation property-inference-attacks model-attacks beneficial-forgetting
  • Updated May 22, 2024
transferlearning

jindongwang / transferlearning

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption
  • Updated May 22, 2024
  • Python

openvinotoolkit / training_extensions

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Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

machine-learning computer-vision deep-learning pytorch semi-supervised-learning image-classification object-detection transfer-learning image-segmentation quantization action-recognition automl incremental-learning anomaly-detection hyper-parameter-optimization self-supervised-learning openvino neural-networks-compression datumaro
  • Updated May 23, 2024
  • Python

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