May 12, 2016 · Through whitening, we completely remove the second-order information (correlations and variances) of the data, gaining access to the relevant ...
Through whitening, we completely remove the second-order information (correlations and variances) of the data, gaining access to the relevant information. The ...
The proposed approach is an analytically tractable and computationally simple framework which is called Dynamic Adaptive Whitening Saliency (AWS-D), ...
This paper describes a unified framework for the static and dynamic saliency detection by whitening both the chromatic characteristics and the spatio-temporal
Oct 22, 2024 · The proposed approach is an analytically tractable and computationally simple framework which we call Dynamic Adaptive Whitening Saliency (AWS-D) ...
People also ask
What is a disadvantage of saliency detection?
What is saliency prediction?
This paper describes a unified framework for the static and dynamic saliency detection by whitening both the chromatic characteristics and the spatio-temporal ...
This paper describes a unified framework for the static and dynamic saliency detection by whitening both the chromatic character- istics and the spatio ...
This paper describes a unified framework for the static and dynamic saliency detection by whitening both the chromatic characteristics and the ...
Abstract. In this paper, we proposed an integrated model of both semantic-aware and contrast-aware saliency (SCA) combin- ing both bottom-up and top-down ...
Fig. 1: Predicting video saliency requires finding a harmonious interaction between appearance and temporal information. For.