Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-009-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-009-alpha.b-cdn.net
      • sl-yoda-v2-stream-009-beta.b-cdn.net
      • 1766500541.rsc.cdn77.org
      • 1441886916.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift

            Dec 2, 2022

            Speakers

            PM

            Patrick Müller

            Speaker · 0 followers

            AB

            Alexander Braun

            Speaker · 0 followers

            MK

            Margret Keuper

            Speaker · 0 followers

            About

            Image classification is a long-standing task in computer vision with deep neuralnetworks (DNN) producing excellent results on various challenges. However, theyare required not only to perform highly accurate on benchmarks such as ImageNet,but also to robustly handle images in adverse conditions, such as modified lighting, sharpness, weather conditions and image compression. Various benchmarksaimed to measure robustness show that neural networks perform differently wellunder distribution shifts.…

            Organizer

            N2
            N2

            NeurIPS 2022

            Account · 954 followers

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Continual Learning In Environments With Polynomial Mixing Times
            04:57

            Continual Learning In Environments With Polynomial Mixing Times

            Matthew Riemer, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            A gradient sampling method with complexity guarantees for Lipschitz functions in low and high dimensions
            02:27

            A gradient sampling method with complexity guarantees for Lipschitz functions in low and high dimensions

            Damek Davis, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging
            04:59

            Volume-based Performance not Guaranteed by Promising Patch-based Results in Medical Imaging

            Abhishek Moturu

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Learning in Congestion Games with Bandit Feedback
            05:03

            Learning in Congestion Games with Bandit Feedback

            Zhihan Xiong, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Signal Recovery with Non-Expansive Generative Network Priors
            04:24

            Signal Recovery with Non-Expansive Generative Network Priors

            Jorio Cocola

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Collaborating with language models for embodied reasoning
            04:53

            Collaborating with language models for embodied reasoning

            Ishita Dasgupta, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow NeurIPS 2022