ICASSP 2025accepted0 citations
ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation
Maheswar Bora, Tushar Anand, Saurabh Atreya, Aritra Mukherjee, Abhijit Das
Abstract
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. The code implementation and corresponding models are available at: https://github.com/MBora/ViM-Disparity.
BibTeX
@inproceedings{icassp2025_vimdisparitybrid,
title = {ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation},
author = {Maheswar Bora and Tushar Anand and Saurabh Atreya and Aritra Mukherjee and Abhijit Das},
booktitle = {ICASSP 2025},
year = {2025}
}