A performance comparison of pedestrian detection using faster RCNN and ACF
This paper presents a performance comparison of pedestrian detection using faster RCNN
and ACF. RCNN finds independently candidate areas for detectable object and extracts …
and ACF. RCNN finds independently candidate areas for detectable object and extracts …
[PDF][PDF] Hand gesture recognition by means of region-based convolutional neural networks
This paper presents the implementation of a Region-based Convolutional Neural Network
focused on the recognition and localization of hand gestures, in this case 2 types of …
focused on the recognition and localization of hand gestures, in this case 2 types of …
[PDF][PDF] Machine learning techniques for speech recognition using the magnitude
CG Krishnan, YH Robinson… - Journal of Multimedia …, 2020 - koreascience.kr
Abstract Machine learning consists of supervised and unsupervised learning among which
supervised learning is used for the speech recognition objectives. Supervised learning is the …
supervised learning is used for the speech recognition objectives. Supervised learning is the …
[PDF][PDF] Recognizing Diseased Coffee Leaves Using Deep Learning
S Deng - cs230.stanford.edu
Since coffee is widely consumed, we aim to build a coffee plant disease recognition
algorithm, which classifies coffee leaf images into one of six health conditions: Healthy, four …
algorithm, which classifies coffee leaf images into one of six health conditions: Healthy, four …
Faster RCNN 과ACF 를이용한사람검출의성능비교분석
변영현， 곽근창 - 한국정보기술학회논문지, 2017 - dbpia.co.kr
요 약본 논문은 Faster RCNN (Region based Convolutional Neural Network) 과 ACF
(Aggregate Channel Feature) 를 이용한 사람검출의 성능비교 분석을 나타낸다. Faster RCNN …
(Aggregate Channel Feature) 를 이용한 사람검출의 성능비교 분석을 나타낸다. Faster RCNN …
[引用][C] Design of Object Detection Systems on a SoC-FPGA Platform
S Qin - 2017 - Technische Universität Carolo …