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Unified Image and Video Saliency Modeling [PDF]
European Conference on Computer Vision, 2020 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 MIT300 is slowing, video saliency models have shown rapid gains on the recent DHF1K benchmark. Here, we take a step back and ask: Can
Richard Droste +2 more
semanticscholar +5 more sources
Saliency-Driven Active Contour Model for Image Segmentation [PDF]
IEEE Access, 2020 Active contour models have achieved prominent success in the area of image segmentation, allowing complex objects to be segmented from the background for further analysis.
Ehtesham Iqbal +4 more
doaj +2 more sources
Saliency Driven Perceptual Image Compression [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 This paper proposes a new end-to-end trainable model for lossy image compression, which includes several novel components. The method incorporates 1) an adequate perceptual similarity metric; 2) saliency in the images; 3) a hierarchical auto-regressive model.
Patel, Yash +2 more
openaire +3 more sources
DISC: Deep Image Saliency Computing via Progressive Representation Learning [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2015 Salient object detection increasingly receives attention as an important component or step in several pattern recognition and image processing tasks.
Chen, Tianshui +4 more
core +2 more sources
Recent Advances in Saliency Estimation for Omnidirectional Images, Image Groups, and Video Sequences [PDF]
Applied Sciences, 2020 We present a review of methods for automatic estimation of visual saliency: the perceptual property that makes specific elements in a scene stand out and grab the attention of the viewer.
Marco Buzzelli
doaj +2 more sources
Remote Sensing, 2016 The automatic detection of regions of interest (ROI) is useful for remote sensing image analysis, such as land cover classification, object recognition, image compression, and various computer vision related applications.
Jie Chen, Libao Zhang
doaj +2 more sources
Underwater Image Saliency Detection Via Attention-based Mechanism
Journal of Physics: Conference Series, 2022 Due to complex lighting circumstances and other factors, visual saliency recognition of underwater images is not as good as visual saliency detection models that function well on land when applied to underwater environments.
Lidan Liu, Weiwei Yu
openalex +2 more sources
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency [PDF]
Computer Vision and Pattern Recognition, 2021 Backpropagation image saliency aims at explaining model predictions by estimating model-centric importance of individual pixels in the input. However, classinsensitivity of the earlier layers in a network only allows saliency computation with low ...
M. Jalwana +3 more
semanticscholar +1 more source
3D Visual Saliency: An Independent Perceptual Measure or a Derivative of 2D Image Saliency?
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 While 3D visual saliency aims to predict regional importance of 3D surfaces in agreement with human visual perception and has been well researched in computer vision and graphics, latest work with eye-tracking experiments shows that state-of-the-art 3D ...
Ran Song +4 more
semanticscholar +1 more source
Improvement of CRF-Based Saliency Detection Algorithm Using Matrix Decomposition Based Features [PDF]
مدیریت مهندسی و رایانش نرم, 2020 One of the most important processing steps in the human vision system is the detection of a scene saliency map. Since saliency map can be applied to algorithms such as segmentation, compression and image retrieval, Researchers have focused on providing ...
Mohammad Shouryabi +1 more
doaj +1 more source