Essays about: "image recognition"

Showing result 1 - 5 of 233 essays containing the words image recognition.

  1. 1. Fast visual grounding in interaction

    University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Author : José Miguel Cano Santín; [2019-10-04]
    Keywords : grounding; object learning; interactive learning; transfer learning; neural networks;

    Abstract : A big challenge for the development situated agents is that they need to be capable of grounding real objects of their enviroment to representations with semantic meaning, so they can be comunicated to human agents using the human language. de Graaf (2016) developed the KILLE framework, which is a static camerabasedrobot capable of learning objects and spatial relations from very few samples using image processing algorithms suitable for learning from few samples. READ MORE

  2. 2. Object Detection in Object Tracking System for Mobile Robot Application

    University essay from KTH/Matematisk statistik

    Author : Alessandro Foa'; [2019]
    Keywords : ;

    Abstract : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. READ MORE

  3. 3. A Digits-Recognition Convolutional Neural Network on FPGA

    University essay from Linköpings universitet/Datorteknik

    Author : Zhenyu Wang; [2019]
    Keywords : ;

    Abstract : A convolutional neural network (CNN) is a deep learning framework that is widely used in computer vision. A CNN extracts important features of input images by perform- ing convolution and reduces the parameters in the network by applying pooling operation. READ MORE

  4. 4. Image enhancement effect on the performance of convolutional neural networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Xiaoran Chen; [2019]
    Keywords : Image Enhancement; Convolutional Neural Networks; Deep Learning; Transfer Learning;

    Abstract : Context. Image enhancement algorithms can be used to enhance the visual effects of images in the field of human vision. So can image enhancement algorithms be used in the field of computer vision? The convolutional neural network, as the most powerful image classifier at present, has excellent performance in the field of image recognition. READ MORE

  5. 5. DSP Design With Hardware Accelerator For Convolutional Neural Networks

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Julian Hille; Lucas Santos Ferreira; [2019]
    Keywords : CNN; Hardware; Accelerator; DSP; Convolutional; Convolution; Neural; Network; Processor; Tensilica; FIR; Memory; SRAM; Technology and Engineering;

    Abstract : Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy levels in the ImageNet Large Scale Visual Recognition Challenge. The era of machine learning has arrived and with it countless applications varying from autonomous driving to unstructured robotic manipulation. READ MORE