There is limited understanding of the information captured by deep
spati...
Deep spatiotemporal models are used in a variety of computer vision task...
Existing weakly or semi-supervised semantic segmentation methods utilize...
In this paper, we present a strategy for training convolutional neural
n...
In this paper, we challenge the common assumption that collapsing the sp...
In contrast to fully connected networks, Convolutional Neural Networks (...
In this paper, we present a strategy for training convolutional neural
n...
Saliency detection has been widely studied because it plays an important...
In contrast to fully connected networks, Convolutional Neural Networks (...
In this paper, we present a canonical structure for controlling informat...
Recent Salient Object Detection (SOD) systems are mostly based on
Convol...
The Saliency Model Implementation Library for Experimental Research (SMI...
In this paper, we present an approach for Recurrent Iterative Gating cal...
Salient object detection is a problem that has been considered in detail...
Much research has examined models for prediction of semantic labels or
i...
Effective integration of local and global contextual information is cruc...
Salient object detection is a problem that has been considered in detail...