2015年11月8日 · In this paper, we introduce "LOGO-Net", a large-scale logo image database for logo detection and brand recognition from real-world product images. To facilitate research, …

2023年1月15日 · As a special form of object detection, logo detection aims at finding all the logos in an image or a video and return their locations. Extracting effective features is a crucial step …

2022年3月26日 · Our innovative AI technology analyzes your logo and translates its essence into captivating auditory experiences. Dive deeper into your brand, understand its unique sonic …

DeepLogo provides training and evaluation environments of Tensorflow Object Detection API for creating a brand logo detection model. These are some detection results by DeepLogo. …

DeepLogo2 provides a training and inference environment for creating brand logo detection models using DETR. DeepLogo2 use the flickr logos 27 dataset. The flickr logos 27 dataset …

In this paper we will work on effective and scalable ap-proaches to extracting logos from images of natural scenes. This could be very useful for contextual advertisement placement, which is …

This paper presented “LOGO-Net” — a large-scale logo image database to facilitate large-scale deep logo detection and brand recognition from real-world product images. LOGO-Net …

We present a deep learning system for automatic logo detection in real world images. We base our detector on the popular framework of FasterR-CNN and compare it

2017年1月10日 · 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 …

In this paper, we present a logo detection method that requires minimum labeled images. First, we use synthetic images to train a CNN to detect logos. Then, this CNN is used to automatically …