Apr 29, 2023 · We propose a Transformer-based modality-invariant VO approach that can deal with diverse or changing sensor suites of navigation agents. Our ...
We propose a Transformer-based modality-invariant VO approach that can deal with diverse or changing sensor suites of naviga- tion agents. Our model outperforms ...
We propose a Transformer-based modality-invariant VO approach that can deal with diverse or changing sensor suites of navigation agents. Our model outperforms ...
CVPR 2023 - Modality-invariant Visual Odometry for Embodied Vision. 3. Page 4. Problem. CVPR 2023 - Modality-invariant Visual Odometry for Embodied Vision. 4.
However, we find that using the proposed geometric invariance losses for training the unified model yields improved results. Training the sep- arate models ...
We propose a Transformer-based modality-invariant VO approach that can deal with diverse or changing sensor suites of navigation agents.
Effectively localizing an agent in a realistic, noisy setting is crucial for many embodied vision tasks. Visual Odome- try (VO) is a practical substitute for ...
The above method allows a cartographer to create contours with variation of line thickness representing brightness of ground surface caused by the incoming ...
We propose the Visual Odom- etry Transformer, a novel approach to multi-modal Visual. Odometry based on Vision Transformers that successfully replaces GPS+ ...