[ContinualAI Seminars]: "CLAD: A realistic Continual Learning benchmark for Autonomous Driving"
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Keiland Cooper
Oct 11, 2022, 2:16:37 AM10/11/22
to Continual Learning & AI News
Hi All,
Join us this Thursday 10-13-2022, 15:00 PM UTC, for the ContinualAI Seminar, where Eli Verwimp (KU Leuven) will present the paper:
Title: “CLAD: A realistic Continual Learning benchmark for Autonomous Driving”
Link: https://arxiv.org/abs/2210.03482
Abstract: In this paper we describe the design and the ideas motivating a new Continual Learning benchmark for Autonomous Driving (CLAD), that focuses on the problems of object classification and object detection. The benchmark utilises SODA10M, a recently released large-scale dataset that concerns autonomous driving related problems. First, we review and discuss existing continual learning benchmarks, how they are related, and show that most are extreme cases of continual learning. To this end, we survey the benchmarks used in continual learning papers at three highly ranked computer vision conferences. Next, we introduce CLAD-C, an online classification benchmark realised through a chronological data stream that poses both class and domain incremental challenges, and CLAD-D, a domain incremental continual object detection benchmark. We examine the inherent difficulties and challenges posed by the benchmark, through a survey of the techniques and methods used by the top-3 participants in a CLAD-challenge workshop at ICCV 2021. We conclude with possible pathways to improve the current continual learning state of the art, and which directions we deem promising for future research.
---------------
- YouTube link:
https://www.youtube.com/watch?v=S4xl0Qr4uvg
- Microsoft Teams:
https://bit.ly/clai-seminars
- YouTube recordings of the previous sessions:
https://www.youtube.com/c/ContinualAI
---------------
Feel free to share this email to anyone interested and invite them to subscribe this mailing-list here: https://groups.google.com/g/continualai
Please also contact me if you want to speak at one of the next sessions!
Looking forward to seeing you all there!
Keiland Cooper
University of California
ContinualAI Co-founder
http://kwcooper.xyz
Join us this Thursday 10-13-2022, 15:00 PM UTC, for the ContinualAI Seminar, where Eli Verwimp (KU Leuven) will present the paper:
Title: “CLAD: A realistic Continual Learning benchmark for Autonomous Driving”
Link: https://arxiv.org/abs/2210.03482
Abstract: In this paper we describe the design and the ideas motivating a new Continual Learning benchmark for Autonomous Driving (CLAD), that focuses on the problems of object classification and object detection. The benchmark utilises SODA10M, a recently released large-scale dataset that concerns autonomous driving related problems. First, we review and discuss existing continual learning benchmarks, how they are related, and show that most are extreme cases of continual learning. To this end, we survey the benchmarks used in continual learning papers at three highly ranked computer vision conferences. Next, we introduce CLAD-C, an online classification benchmark realised through a chronological data stream that poses both class and domain incremental challenges, and CLAD-D, a domain incremental continual object detection benchmark. We examine the inherent difficulties and challenges posed by the benchmark, through a survey of the techniques and methods used by the top-3 participants in a CLAD-challenge workshop at ICCV 2021. We conclude with possible pathways to improve the current continual learning state of the art, and which directions we deem promising for future research.
---------------
- YouTube link:
https://www.youtube.com/watch?v=S4xl0Qr4uvg
- Microsoft Teams:
https://bit.ly/clai-seminars
- YouTube recordings of the previous sessions:
https://www.youtube.com/c/ContinualAI
---------------
Feel free to share this email to anyone interested and invite them to subscribe this mailing-list here: https://groups.google.com/g/continualai
Please also contact me if you want to speak at one of the next sessions!
Looking forward to seeing you all there!
Keiland Cooper
University of California
ContinualAI Co-founder
http://kwcooper.xyz
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