Attention Mechanism in CV: FFM and ARM Modules in BiSeNet

Attention Mechanism in CV: FFM and ARM Modules in BiSeNet

BiSeNet, which utilizes attention mechanisms in semantic segmentation, has two modules: the FFM module and the ARM module. Its implementation is quite straightforward, but the author has a deep understanding of the attention mechanism and proposes a novel feature fusion method through the FFM module. One Introduction Semiotic segmentation requires rich spatial information and a … Read more

How to Implement Image Semantic Segmentation Using CRF-RNN

How to Implement Image Semantic Segmentation Using CRF-RNN

Selected from GitHub Author: Shuai Zheng et al. Translated by: Machine Heart Contributors: Jiang Siyuan This GitHub project implements image semantic segmentation by combining CNN and CRF-RNN models. Readers can follow this project to implement the process using Keras/Tensorflow. Demo Address: http://crfasrnn.torr.vision Project Address: https://github.com/sadeepj/crfasrnn_keras This GitHub project contains methods to implement “CRF-RNN” image semantic … Read more