Abstract: The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward ...
Abstract: Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on costly ...
This repository provides an Android application for classifying traffic signs using a pre-trained Convolutional Neural Network (CNN) model. The app is designed for real-time traffic sign recognition ...
This is a guide for users who want to write custom c++ op for TensorFlow and distribute the op as a pip package. This repository serves as both a working example of the op building and packaging ...
Abstract: Waste in rivers is an ever-increasing problem. This paper will look at Deep Learning and Computer Vision technologies to determine if they can be applied to the problem domain. Usage of Deep ...
2.9.0\py39\CPU+GPU\cuda117cudnn8sse2 VS2022 17.2 11.7.0_516.01/8.4.0.27 x86_64 Python 3.9/compute_35 2.9.0\py39\CPU+GPU\cuda117cudnn8avx2 VS2022 17.2 11.7.0_516.01/8.4.0.27 AVX2 Python ...
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