A deeper look into deepcap
… This work is an extended version of DeepCap [1] where additional explanations,
evaluations, comparisons, applications, and limitations are provided. In particular, the character …
evaluations, comparisons, applications, and limitations are provided. In particular, the character …
Deepcaps: Going deeper with capsule networks
J Rajasegaran, V Jayasundara… - … CVF conference on …, 2019 - openaccess.thecvf.com
… To this end, in this paper, we propose DeepCaps: a deep capsule network architecture
by leveraging two key ideas: Dynamic routing and Going deeper in the network. The novel …
by leveraging two key ideas: Dynamic routing and Going deeper in the network. The novel …
Deepcap: Monocular human performance capture using weak supervision
… We propose a novel deep learning approach for monocular dense human performance
capture. Our method is trained in a weakly supervised manner based on multi-view supervision …
capture. Our method is trained in a weakly supervised manner based on multi-view supervision …
Deep cap analysis gene expression (CAGE): genome-wide identification of promoters, quantification of their expression, and network inference
M de Hoon, Y Hayashizaki - Biotechniques, 2008 - Taylor & Francis
… The increased throughput of sequencers enables CAGE sequencing at a much deeper
scale than previously possible. On the one hand, this implies that it is increasingly possible to …
scale than previously possible. On the one hand, this implies that it is increasingly possible to …
DeepCap: A deep learning model to caption black and white images
V Pandit, R Gulati, C Singla… - … Conference on Cloud …, 2020 - ieeexplore.ieee.org
… The accuracies of these networNs at captioning though not comparable to humans yet but
comes out pretty high if trained effectively. The deep learning results for captioning help in …
comes out pretty high if trained effectively. The deep learning results for captioning help in …
NASCaps: A framework for neural architecture search to optimize the accuracy and hardware efficiency of convolutional capsule networks
… DeepCaps also introduce a skip connection between the last CapsCells to mitigate the
vanishing gradient effects that affect deeper … accuracy compared to DeepCaps-like structures, …
vanishing gradient effects that affect deeper … accuracy compared to DeepCaps-like structures, …
Deep cap analysis of gene expression
J Kurosawa, H Nishiyori, Y Hayashizaki - PCR Protocols, 2010 - Springer
… DeepCAGE can produce much deeper transcriptome datasets and can reveal more details
… 1 μL of tRNA (20 μg) into the column and keep at room temperature for 1 min (see Note 15). …
… 1 μL of tRNA (20 μg) into the column and keep at room temperature for 1 min (see Note 15). …
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network
… In this study, we proposed a deep learning model, DeepCap-Kcr, a capsule network (CapsNet)
based on a convolutional neural network (CNN) and long short-term memory (LSTM) for …
based on a convolutional neural network (CNN) and long short-term memory (LSTM) for …
The sulfur isotope signatures of Marinoan deglaciation captured in Neoproterozoic shallow-to-deep cap carbonate from South China
We present high-resolution sulfur and carbon isotope records from the cap carbonate of the
Doushantuo Formation, South China, a unique suite of depositional facies spanning across …
Doushantuo Formation, South China, a unique suite of depositional facies spanning across …
[PDF][PDF] A Numerical Analysis Methodology for the Strengthening of Deep Cap Beams
RA Salgado, S Guner - Spec. Publ, 2019 - researchgate.net
… This study proposes an analysis methodology for deep cap beams retrofitted with
externally bonded FRP fabrics. The methodology is presented in two stages with respective …
externally bonded FRP fabrics. The methodology is presented in two stages with respective …