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Found 6 papers, 0 papers with code
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks
Additionally, our approach also outperforms the state-of-the-art methods in achieving better inference time on various smart-phone chipsets and data-types making it a feasible solution for deployment on edge devices.
Chaurah: A Smart Raspberry Pi based Parking System
The primary locates and recognises license plates from a vehicle image, while the secondary performs Optical Character Recognition (OCR) to identify individualized numbers from the number plate.
Optical Character Recognition
Optical Character Recognition (OCR)
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Deep Reinforcement Learning (DRL) aims to create intelligent agents that can learn to solve complex problems efficiently in a real-world environment.
Using Deep Object Features for Image Descriptions
The decoder model learns to extract descriptions for the image from scratch by decoding the joint representation of the object visual features and their object classes conditioned by the encoder component.
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks
This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotations of any kind in these documents.
A Low Complexity VLSI Architecture for Multi-Focus Image Fusion in DCT Domain
Due to the confined focal length of optical sensors, focusing all objects in a scene with a single sensor is a difficult task.
