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07/24/2023
LiDAR Meta Depth Completion
Depth estimation is one of the essential tasks to be addressed when crea...
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04/27/2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
With autonomous industries on the rise, domain adaptation of the visual ...
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04/26/2023
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
Unsupervised domain adaptation (UDA) and domain generalization (DG) enab...
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12/02/2022
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
In unsupervised domain adaptation (UDA), a model trained on source data ...
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04/27/2022
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model trained on th...
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11/29/2021
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
As acquiring pixel-wise annotations of real-world images for semantic se...
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12/19/2020
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation
Training deep networks for semantic segmentation requires large amounts ...
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07/30/2019
Grid Saliency for Context Explanations of Semantic Segmentation
Recently, there has been a growing interest in developing saliency metho...
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03/21/2019
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids
An environment representation (ER) is a substantial part of every autono...
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10/03/2018
