Papers Logo Recognition
“Logo Recognition” 태그가 달린 논문 15편 · 필터 해제
A New Method for Vehicle Logo Recognition Based on Swin Transformer
Intelligent Transportation Systems (ITS) utilize sensors, cameras, and big data analysis to monitor real-time traffic conditions, aiming to improve traffic efficiency and safety. Accurate vehicle recognition is crucial i…
Logo RecognitionTransfer LearningRL-LOGO: Deep Reinforcement Learning Localization for Logo Recognition
This paper proposes a novel logo image recognition approach incorporating a localization technique based on reinforcement learning. Logo recognition is an image classification task identifying a brand in an image. As the…
2kDeep Reinforcement Learningimage-classificationImage Classification+4Image-Text Pre-Training for Logo Recognition
Open-set logo recognition is commonly solved by first detecting possible logo regions and then matching the detected parts against an ever-evolving dataset of cropped logo images. The matching model, a metric learning pr…
Logo RecognitionMetric LearningFashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings
Logo embedding models convert the product logos in images into vectors, enabling their utilization for logo recognition and detection within e-commerce platforms. This facilitates the enforcement of intellectual property…
Image RetrievalLogo RecognitionOptical Character Recognition (OCR)Contrastive Multi View Textual Visual Encoding: Towards One Hundred Thousand Scale One Shot Logo Identification
In this paper, we study the problem of identifying logos of business brands in natural scenes in an open-set one-shot setting. This problem setup is significantly more challenging than traditionally-studied ‘closed-set’ …
Logo RecognitionContrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification
In this paper, we study the problem of identifying logos of business brands in natural scenes in an open-set one-shot setting. This problem setup is significantly more challenging than traditionally-studied 'closed-set' …
Logo RecognitionMulti-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features
Classifying logo images is a challenging task as they contain elements such as text or shapes that can represent anything from known objects to abstract shapes. While the current state of the art for logo classification …
ClassificationImage ClassificationImage RetrievalLogo Recognition+2Makeup216: Logo Recognition with Adversarial Attention Representations
One of the challenges of logo recognition lies in the diversity of forms, such as symbols, texts or a combination of both; further, logos tend to be extremely concise in design while similar in appearance, suggesting the…
DiversityLogo RecognitionScalable Logo Recognition using Proxies
Logo recognition is the task of identifying and classifying logos. Logo recognition is a challenging problem as there is no clear definition of a logo and there are huge variations of logos, brands and re-training to cov…
Few-Shot Object DetectionLogo Recognitionobject-detectionObject Detection+1Scalable Object Detection for Stylized Objects
Following recent breakthroughs in convolutional neural networks and monolithic model architectures, state-of-the-art object detection models can reliably and accurately scale into the realm of up to thousands of classes.…
Logo RecognitionObjectobject-detectionObject Detection+1Deep Learning for Logo Recognition
In this paper we propose a method for logo recognition using deep learning. Our recognition pipeline is composed of a logo region proposal followed by a Convolutional Neural Network (CNN) specifically trained for logo cl…
Data AugmentationDeep LearningGeneral ClassificationImage Classification+2Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Brand recognition is a very challenging topic with many useful applications in localization recognition, advertisement and marketing. In this paper we present an automatic graphic logo detection system that robustly hand…
Data AugmentationLogo RecognitionMarketingObject+2LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Logo detection from images has many applications, particularly for brand recognition and intellectual property protection. Most existing studies for logo recognition and detection are based on small-scale datasets which …
Logo Recognitionobject-detectionObject DetectionDeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
Recently, there has been a flurry of industrial activity around logo recognition, such as Ditto's service for marketers to track their brands in user-generated images, and LogoGrab's mobile app platform for logo recognit…
2D Object DetectionImage ClassificationLogo RecognitionObject Detection+1Scalable logo recognition in real-world images
In this paper we propose a highly effective and scalable framework for recognizing logos in images. At the core of our approach lays a method for encoding and indexing the relative spatial layout of local features detect…
Logo Recognition