Sep 20, 2018 · Abstract:This paper proposes a simple, yet very effective method to localize dominant foreground objects in an image, to pixel-level ...
Abstract. This paper proposes a simple, yet very effective method to localize dominant foreground objects in an image, to pixel-level precision.
MASON proposes a simple, yet very effective method to localize dominant foreground objects in an image, to pixel-level precision. The proposed method `MASON' ( ...
People also ask
What is a model-agnostic approach?
Which interpretability technique is model-agnostic?
This paper uses a deep convolutional network to generate category-independent and model-agnostic heat maps for any image, and shows that this framework ...
Jan 23, 2019 · This paper proposes a simple, yet very effective method to localize dominant foreground objects in an image, to pixel-level precision.
Sep 20, 2018 · This paper proposes a simple, yet very effective method to localize dominant foreground objects in an image, to pixel-level precision.
MASON: A Model AgnoStic ObjectNess. Framework. K J Joseph. 1. · Rajiv Chunilal ... foreground object(s) in an image to pixel level precision. – The method uses ...
Boykov, Y.Y., Jolly, M.P.: Interactive graph cuts for optimal boundary & region segmentation of objects in ND images. · Chen, L.C., Papandreou, G., Kokkinos, I., ...
Bibliographic details on MASON: A Model AgnoStic ObjectNess Framework.
... MASON: A Model AgnoStic ObjectNess Framework | This paper proposes a simple, yet very effective method to localize dominant foreground objects in an image ...