Work

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

Year: 2025

Type: conference-paper

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.

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10888223

Authors: Maheswar Bora, Tushar Anand, Saurabh Atreya, Aritra Mukherjee, Abhijit Das

Institution: Birla Institute of Technology and Science, Pilani

Language: English

Topic: Advanced Vision and Imaging

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Birla Institute of Technology and Science, Pilani

OpenAlex ID: W4408345603

FWCI:

Cites: 40

Cited by:

Related to: 10