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Chapter and Conference Paper
SG-Net: Semantic Guided Network for Image Dehazing
From traditional handcrafted priors to learning-based neural networks, image dehazing technique has gone through great development. In this paper, we propose an end-to-end Semantic Guided Network (SG-Net (Code...
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Chapter and Conference Paper
SMPG: Adaptive Soft Update for Masked MADDPG
In multi-agent systems, deep reinforcement learning policy gradient algorithms can converge excessively slowly or even fail to converge if the agent size as well as the state information quickly grows. We cons...
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Chapter and Conference Paper
A Non-autoregressive Decoding Model Based on Joint Classification for 3D Human Pose Regression
Recently, the graph convolution networks (GCN) has been widely applied in 3D human pose regression and has showed encouraging performance. One limitation of this method is that it only models the semantic corr...
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Chapter and Conference Paper
Targeted Attack for Deep Hashing Based Retrieval
The deep hashing based retrieval method is widely adopted in large-scale image and video retrieval. However, there is little investigation on its security. In this paper, we propose a novel method, dubbed deep...