Multi-Scale Global Contrast CNN for Salient Object Detection

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection

Salient object detection is a fundamental problem and has been received a great deal of attentions in computer vision. Recently deep learning model became a powerful tool for image feature extraction. In this paper, we propose a multi-scale deep neural network (MSDNN) for salient object detection. The proposed model first extracts global high-level features and context information over the whol...

متن کامل

LCNN: Low-level Feature Embedded CNN for Salient Object Detection

In this paper, we propose a novel deep neural network framework embedded with low-level features (LCNN) for salient object detection in complex images. We utilise the advantage of convolutional neural networks to automatically learn the high-level features that capture the structured information and semantic context in the image. In order to better adapt a CNN model into the saliency task, we r...

متن کامل

ME R-CNN: Multi-Expert R-CNN for Object Detection

Recent CNN-based object detection methods have drastically improved their performances but still use a single classifier as opposed to ”multiple experts” in categorizing objects. The main motivation of introducing multi-experts is twofold: i) to allow different experts to specialize in different fundamental object shape priors and ii) to better capture the appearance variations caused by differ...

متن کامل

Deep Contrast Learning for Salient Object Detection (Supplemental Materials)

PASCAL-S is a dataset built using the validation set of the PASCAL VOC 2010 segmentation challenge. It contains 850 images with the ground truth labeled by 12 subjects. We threshold the masks at 0.5 to obtain binary masks as suggested in [4]. The SOD dataset contains 300 images and it was originally designed for image segmentation. Many images in this dataset have multiple salient objects with ...

متن کامل

Contrast-Oriented Deep Neural Networks for Salient Object Detection

Deep convolutional neural networks have become a key element in the recent breakthrough of salient object detection. However, existing CNN-based methods are based on either patchwise (region-wise) training and inference or fully convolutional networks. Methods in the former category are generally timeconsuming due to severe storage and computational redundancies among overlapping patches. To ov...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sensors

سال: 2020

ISSN: 1424-8220

DOI: 10.3390/s20092656