Results 71 to 80 of about 193,972 (282)
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
, 2015 major update including new COCO data, metrics, and ...
Zhu, Yan +3 more
openaire +2 more sources
DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATION [PDF]
, 2018 Department of Computer Science and EngineeringThe goal of semantic image segmentation is to partition the pixels of an image into semantically meaningful parts and classifying those parts according to a predefined label set.
Tousi, Ali
core
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Semantic Diffusion Network for Semantic Segmentation
, 2023 Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Tan, Haoru, Wu, Sitong, Pi, Jimin
openaire +2 more sources
Attend and Segment: Attention Guided Active Semantic Segmentation [PDF]
, 2020 In a dynamic environment, an agent with a limited field of view/resource cannot fully observe the scene before attempting to parse it. The deployment of common semantic segmentation architectures is not feasible in such settings. In this paper we propose a method to gradually segment a scene given a sequence of partial observations. The main idea is to
Seifi, Soroush, Tuytelaars, Tinne
openaire +3 more sources
A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation [PDF]
, 2013 Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content.
Corso, Jason J. +4 more
core
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
, 2016 Large-scale data is of crucial importance for learning semantic segmentation models, but annotating per-pixel masks is a tedious and inefficient procedure.
Dai, Jifeng +4 more
core +1 more source
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Deep structured features for semantic segmentation [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Specifically, our architecture combines i) a Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random layer realizing a radial basis function kernel ...
Tschannen, Michael +4 more
openaire +2 more sources