A proposed Mamba-based two-branch fusion network for depth estimation reports competitive KITTI and DDAD numbers, but the method and its promised noisy-pose benchmark are not actually specified.
Two prominent datasets in this field are the KITTI and DDAD datasets, each providing valuable resources for developing and benchmarking stereo vision systems
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DepthMamba with Adaptive Fusion
A proposed Mamba-based two-branch fusion network for depth estimation reports competitive KITTI and DDAD numbers, but the method and its promised noisy-pose benchmark are not actually specified.