119 research outputs found
Visual Commonsense R-CNN
We present a novel unsupervised feature representation learning method,
Visual Commonsense Region-based Convolutional Neural Network (VC R-CNN), to
serve as an improved visual region encoder for high-level tasks such as
captioning and VQA. Given a set of detected object regions in an image (e.g.,
using Faster R-CNN), like any other unsupervised feature learning methods
(e.g., word2vec), the proxy training objective of VC R-CNN is to predict the
contextual objects of a region. However, they are fundamentally different: the
prediction of VC R-CNN is by using causal intervention: P(Y|do(X)), while
others are by using the conventional likelihood: P(Y|X). This is also the core
reason why VC R-CNN can learn "sense-making" knowledge like chair can be sat --
while not just "common" co-occurrences such as chair is likely to exist if
table is observed. We extensively apply VC R-CNN features in prevailing models
of three popular tasks: Image Captioning, VQA, and VCR, and observe consistent
performance boosts across them, achieving many new state-of-the-arts. Code and
feature are available at https://github.com/Wangt-CN/VC-R-CNN.Comment: Accepted by CVPR 202
Natural gas potential of Carboniferous and Permian transitional shales in central Hunan, South China
Short-term variation in zooplankton community from Daya Bay with outbreaks of <I>Penilia avirost</I>ris
The zooplankton community structure in bays fluctuates as a result of anthropogenic activities in such waters. We focused on the short-term variability of a zooplankton community and compared its differences at the outflow of a nuclear power plant (ONPP), in a marine cage-culture area (MCCA) and in unpolluted waters (UW) in the south-west part of Daya Bay from 28 April to 1 June 2001. Environmental factors and zooplankton abundance differed significantly among stations at ONPP, MCCA and UW: high temperatures and a high zooplankton abundance occurred at ONPP, while a high chlorophyll a concentration and a low zooplankton abundance prevailed in MCCA. Statistical analysis revealed that the zooplankton diversity and abundance could be reduced by the activity of the marine cage-culture in a short time. Penilia avirostris made up an important component of the zooplankton in the study area, its abundance ranging widely from 16 to 7267 indiv. m-3 from April to June and peaking at the ONPP outflow. The outbreak of P. avirostris probably resulted from the combined effects of favourable water temperature, food concentration and its parthenogenetic behaviour
A Systematic Space-Time Route Planning Approach Coordinated With Task Assignment for Autonomous Delivery Vehicles Fleet
With the development and maturity of autonomous driving technology, parcel terminal distribution has taken the lead as an application scenario for unmanned delivery vehicles that autonomously perform the task of delivering packages between distribution centres and customers. The traditional terminal delivery model faces challenges such as high costs, low efficiency and time conflicts between delivery and customer convenience. Considering the multiple demands of parcels terminal delivery, this paper proposes a space-time route planning model coordinated with task assignment for autonomous delivery vehicle fleet with the objective of minimizing the total transportation distance and designs a route planning with task assignment algorithm. Firstly, a method of period division and the concept of reliable service time are put forward and a task integration approach is introduced. Then, the task assignment model based on task network and the shortest space-time route planning model are built. According to the characteristics of the model, a route planning with task assignment algorithm by improving the Tabu Search algorithm is designed to gain the best delivery space-time routes of autonomous delivery vehicle fleet. Simulation results show that the approach system of space-time route planning designed in this paper can effectively accomplish task assignment and route planning simultaneously
Diversity and abundance of epipelagic larvaceans and calanoid copepods in the eastern equatorial Indian Ocean during the spring inter-monsoon
1371-1380This study investigated the species composition, distribution and abundance of larvaceans and calanoid copepods in the eastern equatorial Indian Ocean. In total, 25 species of larvaceans and 69 species of calanoid copepods were identified in the study area. Although the average diversity and evenness indexes of larvaceans were lower than those of calanoid copepods, the abundance of larvaceans was higher than that of calanoids with means of 40.1±14.9 ind m-3 and 28.4±9.1 ind m-3, respectively. Larvacean community was numerically dominated by Oikopleura fusiformis, Oikopleura longicauda, Oikopleura cophocerca, Fritillaria formica and Fritillaria pellucida, accounting for 83% of total larvacean abundance. The calanoid community was dominated by the following five species, represented 61% of calanoid copepods: Clausocalanus furcatus, Clausocalanus farrani, Acartia negligens, Acrocalanus longicornis as well as the copepodite stage of Euchaeta spp. This study highlights that the importance of larvaceans in the eastern equatorial Indian Ocean
- …