Region-based Segmentation and Object Detection
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|
|Source:||Proceedings of The 23rd Annual Conference on Neural Information Processing Systems (NIPS 23)|
|01_Gould_Region-based_Segmentation_and_2009.pdf||482.42 kB||Adobe PDF||Request a copy|
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