Sep 17, 2022 · In this paper, we propose the Active-Passive SimStereo dataset and a corresponding benchmark to evaluate the performance gap between passive and ...
Feb 4, 2022 · The Active-Passive SimStereo dataset is a simulated dataset created with Blender containing high quality both realistic and abstract looking ...
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The proposed dataset allows the comparison of the relative performance of stereo vision methods when used for passive or active stereo matching. Disparity.
Sep 16, 2022 · We propose the first dataset of active+passive stereo images to evaluate the generalisation ability of stereo deep learning models.
... stereo vision. In this paper, we propose the Active-Passive SimStereo dataset and a corresponding benchmark to evaluate the performance gap between passive ...
Feb 4, 2022 · The Active-Passive SimStereo dataset is a simulated dataset created with blender containing high quality both realistic and abstract looking ...
Feb 4, 2022 · The Active-Passive SimStereo dataset is a simulated dataset created with blender containing high quality both realistic and abstract looking ...
In this paper, we propose the Active-Passive SimStereo dataset and a corresponding benchmark to evaluate the performance gap between passive and active stereo ...
Active-Passive SimStereo--Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods ; Place of Publication, New Orleans, United ...
Sep 21, 2022 · Our paper "Active-Passive SimStereo — Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods" has been ...