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A Simple Pooling-Based Design for Real-Time Salient Object Detection
[article]
2019
arXiv
pre-print
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We solve the problem of salient object detection by investigating how to expand the role of pooling in convolutional neural networks. ...
salient objects. ...
research was supported by NSFC (61620106008, 61572264), the national youth talent support program, Tianjin Natural Science Foundation (17JCJQJC43700, 18ZXZNGX00110) and the Fundamental Research Funds for ...
arXiv:1904.09569v1
fatcat:uvbmpl2lqfgazhr4z5ha54rgii
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
[article]
2022
arXiv
pre-print
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directions for RGBT salient object detection. ...
Most works focus on RGB-based salient object detection, which limits its performance of real-life applications when confronted with adverse conditions such as dark environments and complex backgrounds. ...
To provide a powerful baseline for RGBT salient object detection, we design an end-to-end trained CNN-based framework. ...
arXiv:2007.03262v6
fatcat:6bulfkcrwzhszbxojdjdymkdhq
Agile Amulet: Real-Time Salient Object Detection with Contextual Attention
[article]
2018
arXiv
pre-print
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This paper proposes an Agile Aggregating Multi-Level feaTure framework (Agile Amulet) for salient object detection. ...
Compared to other deep learning based saliency methods, Agile Amulet is of much lighter-weight, runs faster (30 fps in real-time) and achieves higher performance on seven public benchmarks in terms of ...
The real-time speed will foster more applications.
Conclusion In this paper, we propose an agile aggregating multi-level feature framework for salient object detection. ...
arXiv:1802.06960v1
fatcat:ug3xxxihu5hslob4kwc6cutlgq
A neural computational model for bottom-up attention with invariant and overcomplete representation
2012
BMC Neuroscience
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This finding can potentially be applied in task-dependent and supervised object detection. (2) A hierarchical coding model that can represent invariant features, is designed for the pre-attentive stage ...
To address this problem, we constructed a two-layered network that satisfies the neurobiological constraints of the primary visual cortex to detect salient objects. ...
Sarkar for invaluable help and suggestions. We greatly appreciate the reviewers for their suggestions.
Author details ...
doi:10.1186/1471-2202-13-145
pmid:23190754
pmcid:PMC3599588
fatcat:bjwe4evwavhl3n3swavspw5j2m
Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter
[article]
2020
arXiv
pre-print
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Our method is simple yet effective, which is the first attempt to consider the salient object detection mainly as an object-level semantic re-ranking problem. ...
Previous image salient object detection (SOD) works conduct their saliency predictions in a multi-task manner, i.e., performing pixel-wise saliency regression and segmentation-like saliency refinement ...
INTRODUCTION Salient object detection aims to fast locate the most eyecatching objects in a given scene. ...
arXiv:2008.05397v1
fatcat:tlkjuqc26zfe7baweou4yzhngq
Contrast-Oriented Deep Neural Networks for Salient Object Detection
2018
IEEE Transactions on Neural Networks and Learning Systems
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Deep convolutional neural networks have become a key element in the recent breakthrough of salient object detection. ...
Though being very efficient, it is arduous for these methods to detect salient objects of different scales or salient regions with weak semantic information. ...
Recently, deep learning based methods have been widely used for salient object detection and have promoted its research into a new phase. ...
doi:10.1109/tnnls.2018.2817540
pmid:29993934
fatcat:fvchrcr6sfclfgmimhg75otw6u
CNN-based temporal detection of motion saliency in videos
2019
Pattern Recognition Letters
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Temporal motion saliency detection is relevant for applications where one needs to trigger alerts or to monitor dynamic behaviours from videos. ...
A frame will be classified as dynamically salient if it contains local motion departing from its context. ...
Also, expected use cases of motion saliency detection methods are likely to require a real-time execution. ...
doi:10.1016/j.patrec.2019.09.016
fatcat:nebn7k5cnbcndekozyrkkljoca
Local Motion Analysis and Its Application in Video based Swimming Style Recognition
2006
18th International Conference on Pattern Recognition (ICPR'06)
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Finally, we employ a hierarchical classifier to distinguish local motion based on periodicity and salient frames. ...
For each period, we locate a so-called salient frame within which we derive a compact representation to distinctly characterize an image sequence with repeated actions. ...
Introduction Motion plays a critical role in video analysis. It is unique and intrinsic for characterizing the dynamics and evolution of an object or a scene along time. ...
doi:10.1109/icpr.2006.770
dblp:conf/icpr/TongDXTL06
fatcat:33mhyo7rj5dytgh3527yhtgslq
Salient Object Ranking with Position-Preserved Attention
[article]
2021
arXiv
pre-print
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A closely related task, salient object detection, predicts a binary map highlighting a visually salient region while hard to distinguish multiple objects. ...
In this paper, we study the Salient Object Ranking (SOR) task, which manages to assign a ranking order of each detected object according to its visual saliency. ...
We design a simple SOR branch as the baseline. Proposals' features first pass four convolution layers. ...
arXiv:2106.05047v2
fatcat:bkmvkkcn4fflhatv665qi5cnqe
S4Net: Single stage salient-instance segmentation
2020
Computational Visual Media
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Taking into account the category-independent property of each target, we design a single stage salient instance segmentation framework, with a novel segmentation branch. ...
In this paper, we consider salient instance segmentation. ...
Foundation of China (61521002, 61572264, 61620106008), the National Youth Talent Support Program, Tianjin Natural Science Foundation (17JCJQJC43700, 18ZXZNGX00110), and the Fundamental Research Funds for ...
doi:10.1007/s41095-020-0173-9
fatcat:c2vbqx2r3zfclbnpoh2sxar3jy
Object Detection with Deep Learning: A Review
[article]
2019
arXiv
pre-print
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In this paper, we provide a review on deep learning based object detection frameworks. ...
Finally, several promising directions and tasks are provided to serve as guidelines for future work in both object detection and relevant neural network based learning systems. ...
To achieve real-time detection on mobile platform, Kalinovskii and Spitsyn proposed a new solution of frontal face detection based on compact CNN cascades [177] . ...
arXiv:1807.05511v2
fatcat:iu4apzqmnjgmhb2myrs5x7qkia
BODY CONDITION SCORE ESTIMATION USING SALIENT OBJECT AND CONVOLUTIONAL NEURAL NETWORK
2022
Zenodo
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The objective of this paper is to automate the method of estimating BCS. This paper proposed an efficient method for estimating BCS using the salient object and Convolutional Neural Network. ...
The cow's body is identified from the edge map from which the width is used as a feature. The edge map is given to CNN for another feature. ...
The edges are also used to find the salient object. From the salient object, deep features are extracted using simple CNN. At the same time, the oval shape of the cow is also identified. ...
doi:10.5281/zenodo.6613366
fatcat:67aabxmrezajtn3uy5q5itp4me
Object Detection in Video Frames using Deep Learning
2022
International Journal of Computer Applications
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The paper focuses on the framework design and the working principle of the models and examines the model performance in the real-time environment and hence for the accuracy of object detection. ...
Furthermore, a survey of several specific tasks including salient object detection features, face detection and pedestrian detection has also been briefly discussed. ...
Cong Tang et. al [13] discuss on the framework design and the working principle of the models and analyzes the model performance in the real-time and the accuracy of detection. ...
doi:10.5120/ijca2022921930
fatcat:2lnkdxa425dcpev6ubfosgxeim
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
[article]
2022
arXiv
pre-print
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Due to the extreme complexity of scale and shape as well as the uncertainty of the predicted location, salient object detection in optical remote sensing images (RSI-SOD) is a very difficult task. ...
Specifically, the position enhancement stage consists of a semantic attention module and a contextual attention module to accurately describe the approximate location of salient objects. ...
In this paper, we aim at designing an attention guided network for accurate salient object detection in optical RSIs, called AGNet. ...
arXiv:2207.01755v1
fatcat:fcar6p4uz5cq3kvkpaxhv6xon4
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection
[article]
2019
arXiv
pre-print
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To maintain the clear edge structure of salient objects, we propose a novel Edge-guided Non-local FCN (ENFNet) to perform edge guided feature learning for accurate salient object detection. ...
Fully Convolutional Neural Network (FCN) has been widely applied to salient object detection recently by virtue of high-level semantic feature extraction, but existing FCN based methods still suffer from ...
To handle this problem, we propose a novel method based on an edge-guided non-local FCN, named ENFNet, for salient object detection. ...
arXiv:1908.02460v2
fatcat:e7sjjjwpfbh6roglc4ujrjae5e
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