☆ 4.7 Article

STI-Net: Spatiotemporal integration network for video saliency detection

INFORMATION SCIENCES (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Information Systems

Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model

Xiaofeng Xu et al.

Summary: This study addresses the dilemma of accuracy and reality in vehicle trajectory prediction. It proposes a novel framework for trajectory prediction and demonstrates its superiority over benchmarks through experiments. The framework shows good generalizability and generality in data-driven model selection.

INFORMATION SCIENCES (2022)

添加到收藏夹

Article Computer Science, Information Systems

Salient detection via the fusion of background-based and multiscale frequency-domain features q

Sensen Song et al.

Summary: This study proposes a fusion framework for salient object detection by combining background and frequency-domain features. The background features are extracted using an improved background model, while the frequency-domain features are obtained through a new processing method. The proposed method achieves better detection results compared to state-of-the-art methods on multiple datasets.

INFORMATION SCIENCES (2022)

添加到收藏夹

Article Computer Science, Information Systems

DenseBert4Ret: Deep bi-modal for image retrieval

Zafran Khan et al.

Summary: This study focuses on devising a multi-modal algorithm for desired image retrieval from extensive databases, allowing users to modify or add information on images through image and text queries.

INFORMATION SCIENCES (2022)

添加到收藏夹

Article Computer Science, Information Systems

Image retrieval based on aggregated deep features weighted by regional significance and channel sensitivity

Juxiang Zhou et al.

Summary: A new robust global descriptor for image retrieval is proposed in this paper by effectively aggregating local deep convolutional features, aiming to improve the ability of deep features to be described and discerned. Experimental results show that the method can achieve retrieval results comparable to popular approaches for deep feature aggregation.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Information Systems

Integrating object proposal with attention networks for video saliency detection

Muwei Jian et al.

Summary: In this paper, we propose an efficient video saliency-detection model that integrates object-proposal with attention networks to capture salient objects and human attention areas in dynamic video scenes. Experimental results show that our framework outperforms existing deep models in video saliency detection.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Plug-and-Play Scheme to Adapt Image Saliency Deep Model for Video Data

Yunxiao Li et al.

Summary: This paper proposes a novel plug-and-play scheme to weakly retrain a pretrained image saliency deep model for video data, achieving improved detection performance by maintaining temporal saliency awareness. This method is effective for adapting any off-the-shelf pre-trained image saliency deep model to obtain high-quality video saliency detection results.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Decomposition and Completion Network for Salient Object Detection

Zhe Wu et al.

Summary: The paper proposes a novel Decomposition and Completion Network (DCN) that integrates edge and skeleton information for salient object detection, achieving superior performance on benchmark datasets and the task of RGB-D salient object detection. This approach models the integrity of salient objects in two stages and generates precise saliency maps with uniformly segmented objects. The proposed model outperforms existing networks and the code is available for reference.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Sensored Semantic Annotation for Traffic Control Based on Knowledge Inference in Video

Chang Choi et al.

Summary: This paper discusses the definition of object movement and spatio-temporal relations in multimedia data, explores the semantic gap between low-level data and high-level information, and introduces ontology mapping as a method to bridge this gap.

IEEE SENSORS JOURNAL (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection

Mingzhu Xu et al.

Summary: A novel method for video salient object detection based on graph convolution networks is proposed in this research, which combines the advantages of graph models and deep neural networks to enhance both boundary accuracy and overall saliency of the object. Extensive experiments have been conducted on widely used datasets to validate the effectiveness of the proposed approach.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

U-2-Net: Going deeper with nested U-structure for salient object detection

Xuebin Qin et al.

PATTERN RECOGNITION (2020)

添加到收藏夹

Article Computer Science, Information Systems

Deep fusion based video saliency detection

Hongfa Wen et al.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Moving object detection via segmentation and saliency constrained RPCA

Yang Li et al.

NEUROCOMPUTING (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Cloud-assisted secure video transmission and sharing framework for smart cities

M. Shamim Hossain et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Video Salient Object Detection via Fully Convolutional Networks

Wenguan Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

添加到收藏夹

Article Computer Science, Information Systems

Improving Video Saliency Detection via Localized Estimation and Spatiotemporal Refinement

Xiaofei Zhou et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Saliency-Aware Video Object Segmentation

Wenguan Wang et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

添加到收藏夹

Article Computer Science, Information Systems

Video saliency detection via bagging-based prediction and spatiotemporal propagation

Xiaofei Zhou et al.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Automated wireless video surveillance: an evaluation framework

Mohammad A. Alsmirat et al.

JOURNAL OF REAL-TIME IMAGE PROCESSING (2017)

添加到收藏夹

Article Engineering, Electrical & Electronic

Saliency Detection for Unconstrained Videos Using Superpixel-Level Graph and Spatiotemporal Propagation

Zhi Liu et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Video Saliency Detection via Spatial-Temporal Fusion and Low-Rank Coherency Diffusion

Chenglizhao Chen et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement

Wenguan Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Global Contrast Based Salient Region Detection

Ming-Ming Cheng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

添加到收藏夹

Article Engineering, Electrical & Electronic

Video Saliency Map Detection by Dominant Camera Motion Removal

Chun-Rong Huang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Saliency Tree: A Novel Saliency Detection Framework

Zhi Liu et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

Thomas Brox et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Learning to Detect a Salient Object

Tie Liu et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A Database and Evaluation Methodology for Optical Flow

Simon Baker et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Spatiotemporal Saliency in Dynamic Scenes

Vijay Mahadevan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.