Semantic segmentation can address the perceived needs of autonomous driving and micro-robots and is one of the challenging tasks in computer vision. From the application point of view, the difficulty ...
This is a course project developed by 5 students of Indian Institute of Space Science and Technology, Thiruvananthapuram. The MATLAB codes include a Recursive Systematic Convolutional (RSC) Encoder, ...
Convolutional Neural Network (CNN) is a popular, cutting-edge deep learning approach to computer vision that has a wide range of applications in domains where data may be represented by ...
先行研究である DeepLab v3 をベースに、encoder-decoder ネットワークの構造の採用（encoder : DeepLab v3、decoder : 独自のネットワーク）・Depthwise separable convolution の採用・セグメンテーション用に改良 ...
In this paper, a modified FPGA scheme for the convolutional encoder and Viterbi decoder based on the IEEE 802.11a standards of WLAN is presented in OFDM baseband processing systems. The proposed ...
Abstract: Convolutional neural network has achieved remarkable success, and has excellent local feature extraction ability. Similarly, Transformer has been developed markedly in recent years, ...
Automatic and accurate segmentation of medical images plays an essential role in disease diagnosis and treatment planning. Convolution neural networks have achieved remarkable results in medical image ...
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