A saliency detection model for approaching the human performance is a challenging research topic. In this paper, a new saliency model is proposed to detect ...
Fingerprint. Dive into the research topics of 'A combined convolutional neural network and potential region-of-interest model for saliency detection'.
Fingerprint. Dive into the research topics of 'A combined convolutional neural network and potential region-of-interest model for saliency detection'.
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Apr 30, 2024 · In this work, we propose a saliency detection method via multiple-level feature learning. First, we use a DNN model to generate a pixel-wise coarse saliency ...
This work proposes to learn adaptive mid-level features to represent image local information, and presents an efficient way to calculate multi-scale and ...
May 14, 2024 · This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages.
Feb 22, 2017 · Propose a novel deep neural network framework embedded with low-level features (LCNN) for salient object detection in complex images.
Convolutional networks are powerful visual models in the field of target detection and combine semantic information from a deep, coarse layer with ...
To address the shortcomings of these conventional methods, we developed an image saliency-detection network using the classical convolutional neural network ...
This model uses CNN to predict the category and the position of ships, and uses the global contrast based salient region detection to correct the location. We ...
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