CS4245

Technische Universiteit Delft (TU Delft)

Here are the best resources to pass CS4245. Find CS4245 study guides, notes, assignments, and much more.

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Summary of paper A Metric Learning Reality Check
  • Summary of paper A Metric Learning Reality Check

  • Summary • 5 pages • 2024
  • This is a summary of the paper A Metric Learning Reality Check for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of paper End-to-end Object Detection with Transformers
  • Summary of paper End-to-end Object Detection with Transformers

  • Summary • 7 pages • 2024
  • Available in package deal
  • This is a summary of the paper End-to-end Object Detection with Transformers for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of paper Masked Autoencoders Are Scalable Vision Learners
  • Summary of paper Masked Autoencoders Are Scalable Vision Learners

  • Summary • 4 pages • 2024
  • Available in package deal
  • This is a summary of the paper Masked Autoencoders Are Scalable Vision Learners for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of NeRF:  Representing Scenes as Neural Radiance Fields for View Synthesis
  • Summary of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

  • Summary • 5 pages • 2024
  • Available in package deal
  • This is a summary of the paper NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
  • Summary of On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

  • Summary • 4 pages • 2024
  • Available in package deal
  • This is a summary of the paper On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of paper PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  • Summary of paper PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  • Summary • 5 pages • 2024
  • Available in package deal
  • This is a summary of the paper PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of paper Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
  • Summary of paper Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

  • Summary • 3 pages • 2024
  • Available in package deal
  • This is a summary of the paper Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset for the course Seminar of Computer Vision by Deep Learning in TU Delft
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Summary of the paper Supervised learning based on temporal coding in spiking neural networks
  • Summary of the paper Supervised learning based on temporal coding in spiking neural networks

  • Summary • 6 pages • 2024
  • Available in package deal
  • This is a summary of the paper Supervised learning based on temporal coding in spiking neural networks for the course Seminar of Computer Vision by Deep Learning in TU Delft
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U-Net Convolutional Networks for Biomedical Image
  • U-Net Convolutional Networks for Biomedical Image

  • Summary • 4 pages • 2024
  • Available in package deal
  • This is a summary for the paper U-Net Convolutional Networks for Biomedical Image used for the course Computer Vision by Deep Learning in TU Delft
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