some parameters,” he points out. “We’re not injecting new trainable parameters. For future iterations of this architecture, we want to add trainable parameters to be more suitable for different kinds of projects and tasks. We also want to make this model more stochastic, adding some generative model attributes during training.” The new benchmark dataset is now open to the community for training, testing, and evaluation. “We believe this is going to be a good contribution to the research community,” Abel adds, “especially if they want to help with the exploration of extraplanetary places like Mars.” To learn more about this work, visit Posters 3 today at 17:15-19:15. Virtual papers are available via the WACV 2024 online interface. 13 DAILY WACV Saturday MarsLS-Net
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