GMOS：以 3D 幾何錨定動態物件分割的取捨
傳統動態物件分割（MOS）依賴光流等 2D 輔助，缺乏 3D 幾何資訊。GMOS 直接在 RGB 視頻上錨定 3D 時空，提出 MOS-I 逐幀瞬時運動評估協議並建立 GMOS-2K 資料集；論文報告其在所測 MOS、MOS-I 與 UVOS 基準中達到領先結果，並在 Tab. 1 的設定下比先前多物件 MOS 方法約快三倍。
Object Segmentation
GMOS: The Trade-offs of Anchoring Moving Object Segmentation with 3D Geometry
Traditional moving object segmentation (MOS) relies on 2D aids such as optical flow, without 3D geometric context. GMOS anchors motion directly in RGB video across 3D space and time, introduces the frame-level MOS-I protocol, and builds the GMOS-2K dataset. The paper reports leading results across its evaluated MOS, MOS-I, and UVOS benchmarks, while running about three times faster than earlier multi-object MOS methods under the Tab. 1 evaluation setup.