Papers Video Saliency Detection
“Video Saliency Detection” 태그가 달린 논문 39편 · 필터 해제
BIAS: A Biologically Inspired Algorithm for Video Saliency Detection
We present BIAS, a fast, biologically inspired model for dynamic visual saliency detection in continuous video streams. Building on the Itti--Koch framework, BIAS incorporates a retina-inspired motion detector to extract…
Video Saliency DetectionComputational EfficiencyTSalV360: A Method and Dataset for Text-driven Saliency Detection in 360-Degrees Videos
In this paper, we deal with the task of text-driven saliency detection in 360-degrees videos. For this, we introduce the TSV360 dataset which includes 16,000 triplets of ERP frames, textual descriptions of salient object…
Video Saliency DetectionShallow Features Matter: Hierarchical Memory with Heterogeneous Interaction for Unsupervised Video Object Segmentation
Unsupervised Video Object Segmentation (UVOS) aims to predict pixel-level masks for the most salient objects in videos without any prior annotations. While memory mechanisms have been proven critical in various video seg…
Unsupervised Video Object SegmentationVideo Saliency DetectionVideo SegmentationAIM 2024 Challenge on Video Saliency Prediction: Methods and Results
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps…
Saliency DetectionSaliency PredictionVideo CompressionVideo Saliency Detection+1Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions
Identifying the regions of a learning resource that a learner pays attention to is crucial for assessing the material's impact and improving its design and related support systems. Saliency detection in videos addresses …
Information RetrievalSaliency DetectionVideo Saliency DetectionVideo Segmentation+1ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
With the rapid development of depth sensor, more and more RGB-D videos could be obtained. Identifying the foreground in RGB-D videos is a fundamental and important task. However, the existing salient object detection (SO…
object-detectionObject DetectionSaliency DetectionSalient Object Detection+5An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
In this work, we present an integrated system for spatiotemporal summarization of 360-degrees videos. The video summary production mainly involves the detection of salient events and their synopsis into a concise summary…
Saliency DetectionVideo Saliency DetectionVideo SummarizationPanoramic Vision Transformer for Saliency Detection in 360° Videos
360$^\circ$ video saliency detection is one of the challenging benchmarks for 360$^\circ$ video understanding since non-negligible distortion and discontinuity occur in the projection of any format of 360$^\circ$ videos,…
Saliency DetectionSaliency PredictionVideo Quality AssessmentVideo Saliency Detection+2A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!
Video saliency detection (VSD) aims at fast locating the most attractive objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied on the visual system but paid less attention to the au…
Saliency DetectionVideo Saliency DetectionGASP: Gated Attention For Saliency Prediction
Saliency prediction refers to the computational task of modeling overt attention. Social cues greatly influence our attention, consequently altering our eye movements and behavior. To emphasize the efficacy of such featu…
PredictionSaliency PredictionVideo Saliency DetectionVideo Saliency PredictionWeakly Supervised Visual-Auditory Fixation Prediction with Multigranularity Perception
Thanks to the rapid advances in deep learning techniques and the wide availability of large-scale training sets, the performance of video saliency detection models has been improving steadily and significantly. However, …
Saliency DetectionVideo Saliency DetectionFrom Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach
Thanks to the rapid advances in the deep learning techniques and the wide availability of large-scale training sets, the performances of video saliency detection models have been improving steadily and significantly.…
Saliency DetectionVideo Saliency DetectionTemporal-Spatial Feature Pyramid for Video Saliency Detection
Multi-level features are important for saliency detection. Better combination and use of multi-level features with time information can greatly improve the accuracy of the video saliency model. In order to fully combine …
DecoderSaliency DetectionVideo Saliency DetectionWeakly Supervised Video Salient Object Detection
Significant performance improvement has been achieved for fully-supervised video salient object detection with the pixel-wise labeled training datasets, which are time-consuming and expensive to obtain. To relieve the bu…
Objectobject-detectionObject DetectionPseudo Label+4ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
We propose the ViNet architecture for audio-visual saliency prediction. ViNet is a fully convolutional encoder-decoder architecture. The encoder uses visual features from a network trained for action recognition, and the…
Action RecognitionDecoderPredictionSaliency Prediction+2Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
In this work, we propose a 3D fully convolutional architecture for video saliency prediction that employs hierarchical supervision on intermediate maps (referred to as conspicuity maps) generated using features extracted…
Domain AdaptationSaliency DetectionSaliency PredictionUnsupervised Domain Adaptation+2Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection
The current main stream methods formulate their video saliency mainly from two independent venues, i.e., the spatial and temporal branches. As a complementary component, the main task for the temporal branch is to interm…
object-detectionObject DetectionRGB Salient Object DetectionSaliency Detection+3A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data
With the rapid development of deep learning techniques, image saliency deep models trained solely by spatial information have occasionally achieved detection performance for video data comparable to that of the models tr…
Saliency DetectionVideo Saliency DetectionUnified Image and Video Saliency Modeling
Visual saliency modeling for images and videos is treated as two independent tasks in recent computer vision literature. While image saliency modeling is a well-studied problem and progress on benchmarks like SALICON and…
Domain AdaptationSaliency PredictionVideo Saliency DetectionVideo Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
Due to a variety of motions across different frames, it is highly challenging to learn an effective spatiotemporal representation for accurate video saliency prediction (VSP). To address this issue, we develop an effecti…
PredictionSaliency PredictionVideo Saliency DetectionVideo Saliency Prediction