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 ...

Game 4 of the 2026 NBA Finals was a cathartic, potentially franchise-defining win for a long-suffering New York Knicks fan base. It seems not all of them reacted well. A video circulating on social ...

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 ...