Results 31 to 40 of about 10,257 (261)
More Sanity Checks for Saliency Maps
, 2022 Concepts are powerful human mental representations used to explain, reason and understand. In this work, we use theories on concepts as an analytical lens to compare internal knowledge representations in neural networks to human concepts. In two image classification studies we find an unclear alignment between these, but more pronounced, we find the ...
Lars Holmberg +2 more
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Saliency Detection: A Boolean Map Approach [PDF]
2013 IEEE International Conference on Computer Vision, 2013 A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized by a set of binary images, which are generated by randomly thresholding the image's color channels. Based on a Gestalt principle of figure-ground segregation, BMS computes saliency maps by analyzing the topological structure of Boolean maps. BMS is simple to implement
Jianming Zhang 0001, Stan Sclaroff
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Advances in Mathematical Physics, 2021 The saliency calculation model based on the principle of partial differential equations sometimes highlights areas with high contrast in the background, and the salient targets obtained occasionally have holes.
Lina Wang, Yaoming Liu, Zhike Qian
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Predicting Saliency Maps for ASD People [PDF]
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019 This paper presents a novel saliency prediction model for children with autism spectrum disorder (ASD). We design a new convolution neural network and train it with a new ASD dataset. Among the contributions, we can cite the coarse-to-fine architecture as well as the loss function which embeds a regularization term.
Alexis Nebout +4 more
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An Improved Boosting Learning Saliency Method for Built-Up Areas Extraction in Sentinel-2 Images
Remote Sensing, 2018 Built-up areas extraction from satellite images is an important aspect of urban planning and land use; however, this remains a challenging task when using optical satellite images. Existing methods may be limited because of the complex background.
Zhenhui Sun, Qingyan Meng, Weifeng Zhai
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Saliency Map Based Data Augmentation
2022 26th International Conference on Pattern Recognition (ICPR), 2022 Data augmentation is a commonly applied technique with two seemingly related advantages. With this method one can increase the size of the training set generating new samples and also increase the invariance of the network against the applied transformations.
Jalal Al-Afandi +2 more
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A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory
IEEE Photonics Journal, 2020 Due to more or less deviations in the imaging system, there will be noise in the image, which makes the image segmentation inaccurate. To divide a natural image into a more accurate binary image, the target and background of the image are effectively ...
Sensen Song +3 more
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Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation
IEEE Access, 2023 Substantial research has been done in saliency modeling to make intelligent machines that can perceive and interpret their surroundings and focus only on the salient regions in a visual scene.
Maryam Qamar +4 more
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Electronic Imaging, 2016 This paper investigates whether the information related to the human visual saliency is still preserved at the level of the HEVC compressed stream syntax elements. In this respect, a new saliency model, matched to the peculiarities of this emerging standard is defined.
Ammar, Marwa +3 more
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Revisiting Sanity Checks for Saliency Maps
CoRR, 2021 Saliency methods are a popular approach for model debugging and explainability. However, in the absence of ground-truth data for what the correct maps should be, evaluating and comparing different approaches remains a long-standing challenge. The sanity checks methodology of Adebayo et al [Neurips 2018] has sought to address this challenge.
Gal Yona, Daniel Greenfeld
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