… In summary, we introduce a new dual-stream neural network that incorporates the brain’s
mechanisms for parallel visual processing. The defining features of our model include 1) using …

… two sides yields performance benefits over single-sided imaging. Then we introduce a
double-stream convolutional network for reasoning from two … information from two streams. We …

… (BVD) using Artificial Intelligence of Things (AIoT). Smart surveillance is an important
application of AIoT and we propose a two-stream neural network in this direction. The first stream …

… we propose a novel neural network model, the parallel merge neural network (PMNN), …
neural network in this article. There are two parallel streams in our network (parallel merge neural …

… neural network architecture for RGB-D images is introduced, a training method by stages
for the dual-stream … By introducing the range information into the network through a dual-stream …

… convolutional neural network and recurrent neural network … a novel dual-stream deep-learning
neural network model to … convolutional neural networks and recurrent neural networks for …

… article, a dual stream neural network is … dual stream network. Furthermore, a heuristic
learning strategy from the perspective of balanced self-paced learning is exploited to help network …

… online (or incremental) learning. In this paper, a review of a variety of supervised neural
networks with online … The main characteristics of a neural network can be explained in two parts, …

… We establish a dual-stream structure network to extract features from the original and auxiliary
data simultaneously and exploit all degraded information to enhance the performance of …

… twostream convolutional neural network for single-image dehazing. Two dehazing feature
streams are constructed in this network… feature stream and high-level semantic features stream…