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Tushar Anand

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation

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Dec 21, 2024
Maheswar Bora, Tushar Anand, Saurabh Atreya, Aritra Mukherjee, Abhijit Das
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In this work we propose a Visual Mamba (ViM) based architecture, to dissolve the existing trade-off for real-time and accurate model with low computation overhead for disparity map generation (DMG). Moreover, we proposed a performance measure that can jointly evaluate the inference speed, computation overhead and the accurateness of a DMG model.

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