Probabilistic Jacobian-Based Saliency Maps Attacks
نویسندگان
چکیده
منابع مشابه
View-based object recognition using saliency maps
We introduce a new view-based object representation , called the saliency map graph (SMG), which captures the salient regions of an object view at multiple scales using a wavelet transform. This compact representation is highly invariant to translation, rotation, and scaling, and ooers the locality of representation required for occluded object recognition. We then introduce two graph similarit...
متن کاملProbabilistic saliency estimation
In this paper, we model the salient object detection problem under a probabilistic framework encoding the boundary connectivity saliency cue and smoothness constraints in an optimization problem. We show that this problem has a closed form global optimum which estimates the salient object. We further show that along with the probabilistic framework, the proposed method also enjoys a wide range ...
متن کاملSaliency maps on image hierarchies
In this paper we propose two saliency models for salient object segmentation based on a hierarchical image segmentation, a tree-like structure that represents regions at different scales from the details to the whole image (e.g. gPb-UCM, BPT). The first model is based on a hierarchy of image partitions. The saliency at each level is computed on a region basis, taking into account the contrast b...
متن کاملA computational model of visual attention based on saliency maps
In this paper we proposed a model for motion detection in video. The model gives a motion map which is combined with other feature maps to create a saliency map. An attention process was implemented on a computer using this algorithm and the results show that it properly reflects a human observer’s attention process to videos. 2006 Elsevier Inc. All rights reserved.
متن کاملWavelet Based Estimation of Saliency Maps in Visual Attention Algorithms
This paper deals with the problem of saliency map estimation in computational models of visual attention. In particular, we propose a wavelet based approach for efficient computation of the topographic feature maps. Given that wavelets and multiresolution theory are naturally connected the usage of wavelet decomposition for mimicking the center surround process in humans is an obvious choice. H...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Machine Learning and Knowledge Extraction
سال: 2020
ISSN: 2504-4990
DOI: 10.3390/make2040030