12 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 5 cited
Hierarchical semantic segmentation using modular convolutional neural networks
Sagi Eppel
Image recognition tasks that involve identifying parts of an object or the contents of a vessel can be viewed as a hierarchical problem, which can be solved by initial recognition…
cs.CV2017★ 12 cited
Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels
Sagi Eppel
Convolutional neural networks have emerged as the leading method for the classification and segmentation of images. In some cases, it is desirable to focus the attention of the net…
cs.CV2015★ 2 cited
Using curvature to distinguish between surface reflections and vessel contents in computer vision based recognition of materials in transparent vessels
Sagi Eppel
The recognition of materials and objects inside transparent containers using computer vision has a wide range of applications, ranging from industrial bottles filling to the automa…