DVIS-DAQ: Improving Video Segmentation by Dynamically Generating Anchor Queries to Handle Object Emergence and Disappearance
The authors propose a Dynamic Anchor Queries (DAQ) mechanism to effectively handle the emergence and disappearance of objects in video segmentation tasks. They also introduce an Emergence and Disappearance Simulation (EDS) strategy to further unleash the potential of DAQ.
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
UniVS präsentiert eine innovative vereinheitlichte Architektur für Video-Segmentierung, die verschiedene Aufgaben durch die Verwendung von Hinweisen als Abfragen bewältigt.
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
UniVSは、プロンプトをクエリとして使用することで、すべてのビデオセグメンテーションタスクを1つのモデルで処理する革新的な統合アーキテクチャを提案します。
UniVS: Unified Video Segmentation with Prompts as Queries
The author presents UniVS, a unified video segmentation model that uses prompts as queries to address the challenges of different video segmentation tasks. By averaging prompt features and introducing a target-wise prompt cross-attention layer, UniVS achieves universal training and testing across various scenarios.
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