Exploring Modeling Aleatoric Uncertainty For Camouflaged Object Detection
Exploring Modeling Aleatoric Uncertainty For Camouflaged Object Detection reveals several interesting facts.
- This paper introduces deep gradient network (DGNet), a novel deep framework that exploits
- CVPR2023 Paper Introduction: Feature Shrinkage Pyramid for
- Presented by Dr. Tam Nguyen, University of Dayton.
- In this work, we introduce a new technique that combines two popular methods to estimate
- Supplementary video to the paper "Leveraging Heteroscedastic
In-Depth Information on Modeling Aleatoric Uncertainty For Camouflaged Object Detection
Authors: Jiawei Liu (Australian National University)*; Jing Zhang (Australian National University); Nick Barnes (ANU) Description: ... Published at ICRA 2022 (https://icra2022.org/), In this work, We propose f-Cal, a variational calibration method to obtain ... ABSTRACT This lecture will cover Machine/Deep learning
Authors: Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao Description: We present a ...
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