Computer vision papers

  • Computer vision research topics

    A general strategy

    1. Create a dataset comprised of annotated images or use an existing one
    2. Extract, from each image, features pertinent to the task at hand
    3. Train a deep learning model based on the features isolated
    4. Evaluate the model using images that weren't used in the training phase

  • Computer vision research topics

    PyTorch

Browse 1298 tasks • 2748 datasets • 4220.Semantic SegmentationObject Detection subtasksSee all 21 tasks3D subtasks
Computer VisionSemantic SegmentationTumor SegmentationPanoptic Segmentation3D Semantic SegmentationWeakly-Supervised Semantic Segmentation.Semantic SegmentationObject Detection subtasksSee all 21 tasks3D subtasks

Is the computer vision industry growing?

The analysis was based on nearly 15K papers published between 2010 and 2019 in the top-5 computer vision conferences.
The first part of this study demonstrated an increasing growth of industry presence in the computer vision community.
There are now more than 200 actively publishing companies (including:

  1. corporations and start-ups)
,

What subjects are covered in computer vision & pattern recognition?

Subjects:

  1. Computer Vision and Pattern Recognition (cs
CV); Robotics (cs.RO) Subjects:
  1. Computer Vision and Pattern Recognition (cs
CV); Artificial Intelligence (cs.AI); Computation and Language (cs.CL) Subjects:
  1. Computer Vision and Pattern Recognition (cs
CV); Machine Learning (cs.LG); Signal Processing (eess.SP) .
,

Where can I find a paper based on a computer vision conference?

While most computer vision conference papers are available in open access, only the author names and paper titles can be easily obtained from the conference proceedings and/or conference web pages.
Alternative sources such as:

  1. Google Scholar
  2. dblp
  3. Crossref do not provide the required information
Computer vision papers
Computer vision papers

1989 British film

The Rachel Papers is a 1989 British film written and directed by Damian Harris, and based on the 1973 novel of the same name by Martin Amis.
It stars Dexter Fletcher and Ione Skye with Jonathan Pryce, James Spader, Bill Paterson, Jared Harris, Claire Skinner, Lesley Sharp and Michael Gambon in supporting roles.

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