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Near Earth Objects and Their Physical Characterization

2018
The present research on Near Earth Objects (NEOs) is mostly limited on addressing the question on their number and how hazardous they may be to the Earth. Catalina Sky Survey (CSS) has submitted thousands of astrometric observations to the Minor Planet Center (MPC) resulting in discovery of hundreds of NEOS but much of their physical characteristics ...
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Dynamical evolution of near-Earth objects

An apparent discrepancy between the number of observed near-Earth objects (NEOs) with small perihelion distances (q) and the number of objects that models predict, has led to the conclusion that asteroids get destroyed at non-trivial distances from the Sun.
Athanasia Toliou, Mikael Granvik
openaire   +2 more sources

Two ‘what’ pathways for action and object recognition

Trends in Cognitive Sciences, 2022
Moritz F Wurm, Alfonso Caramazza
exaly  

Deep Learning for Generic Object Detection: A Survey

International Journal of Computer Vision, 2020
Li Liu, Matti Pietikäinen, Paul Fieguth
exaly  

Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Yukang Wang, Yongchao Xu, Qimeng Wang
exaly  

A map of object space in primate inferotemporal cortex

Nature, 2020
Doris Y Tsao, Liang She, Chunxiu Wang
exaly  

Object detection in optical remote sensing images: A survey and a new benchmark

ISPRS Journal of Photogrammetry and Remote Sensing, 2020
Ke Li, Ke Li, Gong Cheng
exaly  

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
Kaiming He, Jian Sun
exaly  

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