824 research outputs found
ViP-CNN: Visual Phrase Guided Convolutional Neural Network
As the intermediate level task connecting image captioning and object
detection, visual relationship detection started to catch researchers'
attention because of its descriptive power and clear structure. It detects the
objects and captures their pair-wise interactions with a
subject-predicate-object triplet, e.g. person-ride-horse. In this paper, each
visual relationship is considered as a phrase with three components. We
formulate the visual relationship detection as three inter-connected
recognition problems and propose a Visual Phrase guided Convolutional Neural
Network (ViP-CNN) to address them simultaneously. In ViP-CNN, we present a
Phrase-guided Message Passing Structure (PMPS) to establish the connection
among relationship components and help the model consider the three problems
jointly. Corresponding non-maximum suppression method and model training
strategy are also proposed. Experimental results show that our ViP-CNN
outperforms the state-of-art method both in speed and accuracy. We further
pretrain ViP-CNN on our cleansed Visual Genome Relationship dataset, which is
found to perform better than the pretraining on the ImageNet for this task.Comment: 10 pages, 5 figures, accepted by CVPR 201
Two dimensional semiconductors with possible high room temperature mobility
We calculated the longitudinal acoustic phonon limited electron mobility of
14 two dimensional semiconductors with composition of MX, where M (= Mo, W,
Sn, Hf, Zr and Pt) is the transition metal, and X is S, Se and Te. We treated
the scattering matrix by deformation potential approximation. We found that out
of the 14 compounds, MoTe, HfSe and HfTe, are promising regarding
to the possible high mobility and finite band gap. The phonon limited mobility
can be above 2500 cmVs at room temperature
Ethnobotany of Camptotheca Decaisne: New Discoveries of Old Medicinal Uses
Camptotheca trees had been used as fuelwood and an ornamental species in its native China. There were no reports on medicinal uses of Camptotheca in China and thus it was believed the trees had no medicinal before its antitumor activity discovered in 1957. We conducted national surveys of Camptotheca in China from 1994 to 1999. We found that Camptotheca acuminate is commonly known as happytree (xi shu) because the trees can be used as folk medicine to cure stubborn phlegm as well as other diseases, thus making patients “happy”. There are three local names to refer the uses of C. acuminata in China. In addition, there are at least 25 other local names for tree morphology and habitat of the species by 35 ethnic groups. There are two local names for C. lowreyana. The Dong people made paste from fresh leaves or fruits and powder from dry materials from any part of this tree species and mixed some or all with rice wine to cure many stubborn diseases including furunclulosis, skin diseases, and even a liu (probably a kind of cancer). Medicinal and other ethnic uses of Camptotheca trees in China were reported in this study
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