Yuan Xie

TL;DR: Zhang et al. as discussed by the authors proposed to use the combination of a coarse salient object activation map from the classification network and saliency maps generated from unsupervised methods as pixel-level annotation, and developed a simple yet very effective algorithm to train fully convolutional networks for salient object detection supervised by these noisy annotations.

TL;DR: Experimental results show that, the proposed approach can achieve robustness to illumination, scale, pose, viewpoint change and even partial occlusion and achieve computational parsimony using improved Model of Saliency-Based Visual Attention.

TL;DR: An allocation and scheduling algorithm that efficiently handles conditional execution in multi-rate embedded system and a mutual exclusion detection algorithm that helps the scheduling algorithm to exploit the resource sharing is introduced.

TL;DR: This paper presents a delay and energy model 3D cache delay-energy estimation tool (3D-Cacti), which allows partitioning of a cache across different device layers at various levels of granularity, and explores the architectural design of cache memories using 3D circuits.

TL;DR: A comprehensive analysis of issues related to reliability, energy consumption, area overhead, and performance of the cross-point arrays of Resistive RAM, and discusses different programming schemes specifically suited for cross- point arrays.