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06/20/2022
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
This paper proposes a novel pixel-level distribution regularization sche...
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01/07/2022
Leveraging Scale-Invariance and Uncertainity with Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Scenes
This paper presents FogAdapt, a novel approach for domain adaptation of ...
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02/28/2021
Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization
Automatic detection of firearms is important for enhancing the security ...
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07/05/2020
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery
This paper proposes a novel domain adaptation algorithm to handle the ch...
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09/30/2019
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling
Most of the recent Deep Semantic Segmentation algorithms suffer from lar...
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04/22/2019