Dec 29, 2017 · Background interference, which arises from complex environment, is a critical problem for a robust person re-identification (re-ID) system.
Background interference, which arises from complex environment, is a critical problem for a robust person re-identification (re-ID) system.
A novel two-stream saliency image fusion CNN architecture for person re-identification. https://doi.org/10.1007/s00530-017-0583-4 ·. Journal: Multimedia ...
A novel two-stream saliency image fusion CNN architecture for person re-identification · Convolutional neural network · Person re-identification · Saliency image.
Background interference, which arises from complex environment, is a critical problem for a robust person re-identification (re-ID) system. The background noise ...
This paper proposes a novel architecture that utilises an attention mech- anism in conjunction with multi-stream convolutional neural networks (CNN) to obtain ...
We propose a two stream CNN architecture where each stream is a Siamese network. This architecture can learn spatial and temporal information separately. By.
Missing: novel saliency
Sep 15, 2017 · This is achieved by introducing two novel layers: multi-scale stream layers that extract images features by analyzing the person images in multi ...
When people see a picture, they tend to focus on the salient areas and information in those areas is more determinant in the further matching and identification ...
This study proposes a new weak saliency ensemble network (WSE-Net) for person re-id using IR images. WSE-Net incorporates a channel reduction of feature (CRF) ...