What are the legal and societal implications of using CNNs in areas like surveillance and facial recognition?

May 25, 2021 ... A Multipath Convolutional Neural Network (M-CNN) is used for global and local feature extraction from images. Then, a machine learning ... Mar 19, 2022 ... What is R-CNN? R-CNN or RCNN, stands for Region-Based Convolutional Neural Network. It is a type of machine learning model for computer vision ... Jun 10, 2020 ... ... machine learning WorldView-2 results,. (d) a Sentinel-2 image of Study Site 1, (e) CNN deep learning Sentinel results, and (f) RF machine. Sep 30, 2024 ... I'm a CS student and have already studied and implemented "normal" Neural Networks, as well as many other machine learning algorithms, so I have ... A regional wind wave prediction surrogate model based on CNN deep learning network ... In recent years, machine learning methods have gradually been ... Feb 1, 2023 ... A new bio-inspired deep learning model that enables generalization in dynamic lighting conditions. Feb 10, 2020 ... The main novelty of this study was to build a coupled CNN–LSTM model to predict water quality variables. Two traditional machine learning models ... The Machine Learning team at CNN Digital is dedicated to research, build and evaluate Machine Learning and AI capabilities at CNN. The team is comprised of ... Abstract. We present Point-Voxel CNN (PVCNN) for efficient, fast 3D deep learning. Previous work processes 3D data using either voxel-based or point-based NN ... May 4, 2021 ... This work focuses on the use of different course of action to train the deep neural network models. A useful way of thinking about model ...