Region-based Segmentation and Object Detection
Gould, Stephen; Gao, Tianshi; Koller, Daphne
Description
Object detection and multi-class image segmentation are two closely related tasks that can be greatly improved when solved jointly by feeding information from one task to the other [10, 11]. However, current state-of-the-art models use a separate representation for each task making joint inference clumsy and leaving the classification of many parts of the scene ambiguous. In this work, we propose a hierarchical region-based approach to joint object detection and image segmentation. Our approach...[Show more]
Collections | ANU Research Publications |
---|---|
Date published: | 2009 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/58458 |
Source: | Proceedings of The 23rd Annual Conference on Neural Information Processing Systems (NIPS 23) |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Gould_Region-based_Segmentation_and_2009.pdf | 482.42 kB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator