Tiny CNN for feature point description for document analysis: approach and dataset
In this paper, we study the problem of feature points description in the context of document analysis and template matching. Our study shows that the specific training data is required for the task especially if we are to train a lightweight neural network that will be usable on devices with limited computational resources. In this paper, we construct and provide a dataset with a method of training patches retrieval. We prove the effectiveness of this data by training a lightweight neural network and show how it performs in both documents and general patches matching. The training was done on the provided dataset in comparison with HPatches training dataset and for the testing we use HPatches testing framework and two publicly available datasets with various documents pictured on complex backgrounds: MIDV-500 and MIDV-2019.
Code (0)
등록된 구현이 없습니다.
Tasks
RetrievalTemplate MatchingSimilar Papers 제목 키워드 기반
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge
Detection and description of keypoints in images is a fundamental component of a wide range of tasks such as Simultaneous Localization And Mapping (SLAM), image alignment and structure from motion (SfM). Efficient comput…
Homography EstimationKeypoint DetectionQuantizationSimultaneous Localization and MappingFoldover Features for Dynamic Object Behavior Description in Microscopic Videos
Behavior description is conducive to the analysis of tiny objects, similar objects, objects with weak visual information and objects with similar visual information, playing a fundamental role in the identification and c…
General ClassificationSimplified TinyBERT: Knowledge Distillation for Document Retrieval
Despite the effectiveness of utilizing the BERT model for document ranking, the high computational cost of such approaches limits their uses. To this end, this paper first empirically investigates the effectiveness of tw…
Document RankingKnowledge DistillationRetrievalEPOC Emotiv EEG Basics
This document provides some basic guidance to start working with the EPOC Emotiv neuroheadset device and describes how to use it to perform basic Brain-Computer Interface (BCI) research. A brief tutorial on how to set up…
Brain Computer InterfaceEEGElectroencephalogram (EEG)RhythmIntroducing the viewpoint in the resource description using machine learning
Search engines allow providing the user with data information according to their interests and specialty. Thus, it is necessary to exploit descriptions of the resources, which take into consideration viewpoints. Generall…
BIG-bench Machine Learning