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Points: 2 | Comments: 0 | Author: JumpCrisscross

We present an open-set logo detection (OSLD) system, which can detect (localize and recognize) any number of unseen logo classes without re-training; it only requires a small set of canonical logo ima...

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Points: 0 | Comments: 0 | Author: jasonlbaptiste

Logo classification has gained increasing attention for its various applications, such as copyright infringement detection, product recommendation and contextual advertising. Compared with other types...

Zuora helps you test, launch, and modify subscription models across channels while handling millions of transactions. Our platform integrates with your existing systems to automate billing operations,...

The photos released of BB's set-up at CES show some new IVY partners. **rti** \- [https://www.rti.com/en/](https://www.rti.com/en/) **Oseven** \- [https://oseven.io/](https://oseven.io/) **CorrAc...

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...

The coolest (open source) PHP code that I’ve written in at least the last 10 years that no one uses is my ConcurrencyHelper project, which I use extensively in the BettergistCollector project (which...

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 an...

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In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo images for classification...

Not sure why my last post disappeared...

Current logo retrieval research focuses on closed set scenarios. We argue that the logo domain is too large for this strategy and requires an open set approach. To foster research in this direction, a...

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-s...

In this paper, a model for classification of logos based on symbolic representation of features is presented. The proposed model makes use of global features of logo images such as color, texture, and...

Existing logo detection benchmarks consider artificial deployment scenarios by assuming that large training data with fine-grained bounding box annotations for each class are available for model train...

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 appear...