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NASFW@WACV 2020 : Workshop on Neural Architecture Search for Computer Vision in the Wild @ WACV 2020

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Link: https://nasfw20.github.io/
 
When Mar 2, 2020 - Mar 5, 2020
Where Snowmass Village, USA
Submission Deadline Jan 6, 2020
Notification Due Jan 15, 2020
Final Version Due Feb 1, 2020
Categories    deep learning   computer vision   meta learning   machine learning
 

Call For Papers

The Workshop on Neural Architecture Search for Computer Vision in the Wild will be held in conjunction with WACV 2020.

Recent years have witnessed a significant rise in research related to neural architecture search (NAS) that allows automatically finding deep network architectures. These architectures often achieve better performance than the state-of-the-art methods that have been carefully designed by deep learning researchers. Although NAS shows promise by exhibiting superior performance on standard benchmarks such as CIFAR-10/100 and ImageNet, the evidence is scarce that they would work equally well on real-world datasets. Moreover, the research has rarely explored vision-based tasks such as pose estimation, activity recognition in videos, generative models, vision-language tasks and real-time vision applications. This gap between published literature for NAS and their performance on real-world datasets/applications is yet to be addressed. The aim of this workshop is to advocate NAS for in-the-wild computer vision across this wide range of tasks and potentially across a range of computing platforms.

The workshop scope includes (but is not limited to):

• Neural architecture search (NAS)

• Challenges in using NAS and/or hyperparameter optimization (HPO) for real-world unconstrained datasets and applications

• Application of NAS/HPO in real-time computer vision applications

• Application of NAS/HPO beyond image classification and object detection

• Meta learning and transfer learning for computer vision

• Learning to learn for computer vision.

Key Dates:

Paper Submission Deadline: January 6, 2020, 11:59:59pm Pacific Standard Time.

Notification to Authors: January 15, 2020.

Camera Ready Deadline: February 1, 2020, 11:59:59pm Pacific Standard Time.


Workshop website: https://nasfw20.github.io/

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