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Salient object detection: A survey
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …
object detection, has attracted great interest in computer vision. While many models have …
The discriminant center-surround hypothesis for bottom-up saliency
The classical hypothesis, that bottom-up saliency is a center-surround process, is combined
with a more recent hypothesis that all saliency decisions are optimal in a decision-theoretic …
with a more recent hypothesis that all saliency decisions are optimal in a decision-theoretic …
Salient object detection in the deep learning era: An in-depth survey
As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …
increasing amount of research attention over the years. Recent advances in SOD are …
Matnet: Motion-attentive transition network for zero-shot video object segmentation
In this paper, we present a novel end-to-end learning neural network, ie, MATNet, for zero-
shot video object segmentation (ZVOS). Motivated by the human visual attention behavior …
shot video object segmentation (ZVOS). Motivated by the human visual attention behavior …
On the binding problem in artificial neural networks
K Greff, S Van Steenkiste, J Schmidhuber - ar**
We study the problem of photo crop**, which aims to find a crop** window of an input
image to preserve as much as possible its important parts while being aesthetically …
image to preserve as much as possible its important parts while being aesthetically …