Search Results for author: Mochu Xiang

Found 2 papers, 2 papers with code

Dense Uncertainty Estimation

1 code implementation13 Oct 2021 Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes

Deep neural networks can be roughly divided into deterministic neural networks and stochastic neural networks. The former is usually trained to achieve a mapping from input space to output space via maximum likelihood estimation for the weights, which leads to deterministic predictions during testing.

Decision Making

Depth-Guided Camouflaged Object Detection

1 code implementation24 Jun 2021 Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong

Camouflaged object detection (COD) aims to segment camouflaged objects hiding in the environment, which is challenging due to the similar appearance of camouflaged objects and their surroundings.

Monocular Depth Estimation Object Detection +2

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