Abstract
Phase transition process occurs rapidly and at unpredictable time, posing challenges for traditional cameras to capture the entire process at high speed. Here, we present a self-supervised learning enhanced high-speed phase transition imaging method based on spike streams.
| Original language | English |
|---|---|
| State | Published - 2024 |
| Event | 2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress - Toulouse, France Duration: 15 Jul 2024 → 19 Jul 2024 |
Conference
| Conference | 2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress |
|---|---|
| Country/Territory | France |
| City | Toulouse |
| Period | 15/07/24 → 19/07/24 |
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