Results 81 to 90 of about 1,194,643 (283)

Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image

Sensors, 2020
This paper proposes a novel 3D representation, namely, a latent 3D volume, for joint depth estimation and semantic segmentation. Most previous studies encoded an input scene (typically given as a 2D image) into a set of feature vectors arranged over a 2D
Seiya Ito, Naoshi Kaneko, Kazuhiko Sumi
doaj   +1 more source

Learning Single-Image Depth from Videos using Quality Assessment Networks

, 2019
Depth estimation from a single image in the wild remains a challenging problem. One main obstacle is the lack of high-quality training data for images in the wild.
Chen, Weifeng, Deng, Jia, Qian, Shengyi
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Unsupervised Learning of Monocular Depth Estimation:A Survey [PDF]

Jisuanji kexue
As the key point of 3D reconstruction,automatic driving and visual SLAM,depth estimation has always been a hot research direction in the field of computer vision,among which,monocular depth estimation technology based on unsupervised learning has been ...
CAI Jiacheng, DONG Fangmin, SUN Shuifa, TANG Yongheng
doaj   +1 more source

On Regression Losses for Deep Depth Estimation [PDF]

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Depth estimation from a single monocular image has reached great performances thanks to recent works based on deep networks. However, as various choices of losses, architectures and experimental conditions are proposed in the literature, it is difficult to establish their respective influence on the performances.
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat   +4 more
openaire   +2 more sources

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source

Depth From Focus via Test-Time Optimization of Monocular Depth Estimation Models

IEEE Access
Depth from focus (DFF) estimates scene depth by analyzing images captured at different focus distances. Recent deep learning–based DFF methods can predict depth at a metric scale; however, their accuracy is often limited by the relatively small ...
Jun Kohashiguchi, Yuki Fujimura, Kazuya Kitano, Takuya Funatomi, Yasuhiro Mukaigawa   +4 more
doaj   +1 more source

Parallel and Distributed Performance of a Depth Estimation Algorithm [PDF]

, 2013
Expansion of dataset sizes and increasing complexity of processing algorithms have led to consideration of parallel and distributed implementations. The rationale for distributing the computational load may be to thin-provision computational resources ...
Calder, Brian R.
core   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

FEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin, Ziyang Yuan, Wenli Jiang, Ai Guo   +3 more
wiley   +1 more source

Monocular Depth Estimation via Self-Supervised Self-Distillation

Sensors
Self-supervised monocular depth estimation can exhibit excellent performance in static environments due to the multi-view consistency assumption during the training process.
Haifeng Hu, Yuyang Feng, Dapeng Li, Suofei Zhang, Haitao Zhao   +4 more
doaj   +1 more source