OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...
OV-DQUO is an open-vocabulary detection framework that learns from open-world unknown objects through wildcard matching and contrastive denoising training methods, mitigating performance degradation ...
Lawrence Berkeley, Oak Ridge, and Lawrence Livermore national laboratories propose partnering with Rescale to make DOE simulation codes accessible through agentic AI SAN FRANCISCO, June 9, 2026 ...
SAN FRANCISCO, June 9, 2026 /PRNewswire/ -- Rescale, the digital engineering platform built for the AI era, today announced a landmark proposed collaboration with three premier U.S. Department of ...
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