The importance of skip connections in biomedical image segmentation
In this paper, we study the influence of both long and short skip connections on Fully
Convolutional Networks (FCN) for biomedical image segmentation. In standard FCNs, only …
Convolutional Networks (FCN) for biomedical image segmentation. In standard FCNs, only …
Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
M Kampffmeyer, AB Salberg… - Proceedings of the IEEE …, 2016 - cv-foundation.org
We propose a deep Convolutional Neural Network (CNN) for land cover mapping in remote
sensing images, with a focus on urban areas. In remote sensing, class imbalance represents …
sensing images, with a focus on urban areas. In remote sensing, class imbalance represents …
Understanding real world indoor scenes with synthetic data
A Handa, V Patraucean… - Proceedings of the …, 2016 - openaccess.thecvf.com
Scene understanding is a prerequisite to many high level tasks for any automated intelligent
machine operating in real world environments. Recent attempts with supervised learning …
machine operating in real world environments. Recent attempts with supervised learning …
End-to-end deep reinforcement learning for lane keeping assist
Reinforcement learning is considered to be a strong AI paradigm which can be used to
teach machines through interaction with the environment and learning from their mistakes …
teach machines through interaction with the environment and learning from their mistakes …
Lstm-cf: Unifying context modeling and fusion with lstms for rgb-d scene labeling
Semantic labeling of RGB-D scenes is crucial to many intelligent applications including
perceptual robotics. It generates pixelwise and fine-grained label maps from simultaneously …
perceptual robotics. It generates pixelwise and fine-grained label maps from simultaneously …
A recurrent encoder-decoder network for sequential face alignment
We propose a novel recurrent encoder-decoder network model for real-time video-based
face alignment. Our proposed model predicts 2D facial point maps regularized by a …
face alignment. Our proposed model predicts 2D facial point maps regularized by a …
Play and learn: Using video games to train computer vision models
Video games are a compelling source of annotated data as they can readily provide fine-
grained groundtruth for diverse tasks. However, it is not clear whether the synthetically …
grained groundtruth for diverse tasks. However, it is not clear whether the synthetically …
[PDF][PDF] 人本尺度城市形态: 测度, 效应评估及规划设计响应
龙瀛， 叶宇 - 南方建筑, 2016 - files.in5.cn
摘要国家新型城镇化规划呼吁以人为本的城镇化, 2015 年底召开的中央城市工作会议明确指出,“
城市发展是一个自然历史过程, 有其自身规律⋯⋯ 要把握发展规律, 推动以人为核心的新型城镇 …
城市发展是一个自然历史过程, 有其自身规律⋯⋯ 要把握发展规律, 推动以人为核心的新型城镇 …
Semantic stixels: Depth is not enough
In this paper we present Semantic Stixels, a novel vision-based scene model geared
towards automated driving. Our model jointly infers the geometric and semantic layout of a …
towards automated driving. Our model jointly infers the geometric and semantic layout of a …
Convolutional scale invariance for semantic segmentation
We propose an effective technique to address large scale variation in images taken from a
moving car by cross-breeding deep learning with stereo reconstruction. Our main …
moving car by cross-breeding deep learning with stereo reconstruction. Our main …