Search Results for author:
Found 8 papers, 2 papers with code
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network
Additionally, we introduce a post-processing method that combines the target information and target contours to distinguish overlapping nuclei and generate an instance segmentation image.
A Voting-Stacking Ensemble of Inception Networks for Cervical Cytology Classification
To address this issue, we propose a Voting-Stacking ensemble strategy, which employs three Inception networks as base learners and integrates their outputs through a voting ensemble.
BA-Net: Bridge Attention for Deep Convolutional Neural Networks
The core idea of this design is to bridge the outputs of the previous convolution layers through skip connections for channel weights generation.
A real-time and high-precision method for small traffic-signs recognition
However, in real applications, small traffic-signs recognition is still challenging.
Ranked #1 on
Traffic Sign Recognition
on Tsinghua-Tencent 100K
Point Clouds Learning with Attention-based Graph Convolution Networks
In addition, we introduce an additional global graph structure network to compensate for the relative information of the individual points in the graph structure network.
Calibration of an Articulated Camera System with Scale Factor Estimation
Therefore, through calibration of an ACS we want to find not only the relative poses between the cameras but also the positions of the joints in the ACS.
Early Fire Detection Using HEP and Space-time Analysis
In this article, a video base early fire alarm system is developed by monitoring the smoke in the scene.
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification
Many efforts have been devoted to develop alternative methods to traditional vector quantization in image domain such as sparse coding and soft-assignment.
