Video Saliency Detection
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Benchmarks
Most implemented
Contextual Encoder-Decoder Network for Visual Saliency Prediction
Unified Image and Video Saliency Modeling
Simple vs complex temporal recurrences for video saliency prediction
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
Papers
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+5