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  CycleVO is an unsupervised monocular pose estimation model designed to robustly estimate the relative camera pose between consecutive frames from endoscopic video. It addresses challenges such as low-texture surfaces and significant illumination variations common in surgical environments.
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  <div align="center">
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- <img src="https://via.placeholder.com/800x400?text=CycleVO+Architecture" alt="CycleVO Architecture Diagram" width="80%"/>
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  ## ✨ Key Features
 
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  CycleVO is an unsupervised monocular pose estimation model designed to robustly estimate the relative camera pose between consecutive frames from endoscopic video. It addresses challenges such as low-texture surfaces and significant illumination variations common in surgical environments.
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  <div align="center">
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+ <img src="CycleVO_architecture.png" alt="CycleVO Architecture Diagram" width="80%"/>
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  </div>
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  ## ✨ Key Features