To address this problem, we propose a multi-layer fusion 3D object detection network. First, a dense fusion (D-fusion) method is proposed, which is different from the traditional fusion method. By fusing the feature maps of each layer, more semantic information of the fusion ...
A method and system for domain adaptation based on multi-layer fusion in a convolutional neural network architecture for feature extraction and a two-step training and fine-tuning scheme. The architecture concatenates features extracted at different depths of the network to form a fully connected laye...
In order to solve the problem that it is difficult to recover the pixels precisely in upsampling because of the loss of pixels caused by downsampling, a real-time semantic segmentation method based on gated multi-layer fusion is proposed. Considering the
- IEEE International Conference on Multisensor Fusion & Integration for Intelligent Systems - 2006 - 被引量: 23 NMDAR encephalitis: passive transfer from man to mouse by a recombinant antibody Malviya, Manish,Barman, Sumanta,Golomb...
A generic framework is proposed in modelling multilayer decision fusion. The model is completely generalised and can approximate any multilayer decision combination configuration. A case study in machine-printed numeral recognition is presented to demonstrate how any type of multilayer configuration can be...
remote sensing; forest tree species; multi scale features; feature fusion; attention mechanism1. Introduction In the current field of environmental protection and ecological research, accurate identification and classification of tree species in forests have become important and challenging tasks. This is ...
摘要: Vision-based action recognition encounters different challenges in practice, including recognition of the subject from any viewpoint, processing of data in real time, and offering privacy in a real...年份: 2018 收藏 引用 批量引用 报错 分享 ...
Different from previous loosely- and tightly- coupled methods, the proposed multi-layer fusion allows us to delicately correct the drift of visual odometry and keep reliable positioning while GNSS degrades. In particular, local motion estimation is conducted in the inner-layer, solving the problem ...
Accordingly, we introduce a novel method to construct a layer feature model for a profile-based solution that allows the fusion of features for multiview depth images. This model enables recognition from several viewpoints with low complexity at a real-time running speed of 63 fps for four ...
Multi-modality fusion technologies have greatly improved the performance of neural network-based Video Description/Caption, Visual Question Answering (VQA) and Audio Visual Scene-aware Dialog (AVSD) over the recent years. Most previous approaches only explore the last layers of multiple layer feature ...