Search Results for author: Osman Tursun

Found 8 papers, 4 papers with code

Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval

no code implementations15 Apr 2021 Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes

However, R-MAC suffers in the presence of background clutter/trivial regions and scale variance, and discards important spatial information.

Content-Based Image Retrieval Trademark Retrieval

An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval

no code implementations8 Feb 2021 Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes

Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted the attention of the computer vision community due to it's real-world applications, and the more realistic and challenging setting than found in SBIR.

Content-Based Image Retrieval Domain Adaptation +3

MTRNet++: One-stage Mask-based Scene Text Eraser

1 code implementation16 Dec 2019 Osman Tursun, Simon Denman, Rui Zeng, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes

The results of ablation studies demonstrate that the proposed multi-branch architecture with attention blocks is effective and essential.

MTRNet: A Generic Scene Text Eraser

1 code implementation11 Mar 2019 Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes

Developing such a generic text eraser for real scenes is a challenging task, since it inherits all the challenges of multi-lingual and curved text detection and inpainting.

Curved Text Detection

Component-based Attention for Large-scale Trademark Retrieval

1 code implementation7 Nov 2018 Osman Tursun, Simon Denman, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes, Sandra Mau

The demand for large-scale trademark retrieval (TR) systems has significantly increased to combat the rise in international trademark infringement.

Noisy Uyghur Text Normalization

no code implementations WS 2017 Osman Tursun, Ruket Cakici

Uyghur is the second largest and most actively used social media language in China.

A Large-scale Dataset and Benchmark for Similar Trademark Retrieval

2 code implementations20 Jan 2017 Osman Tursun, Cemal Aker, Sinan Kalkan

In this paper, we provide a large-scale dataset with benchmark queries with which different TR approaches can be evaluated systematically.

Trademark Retrieval

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