6,021 research outputs found
Os desafios atuais da nematologia no contexto da olericultura: Meloidogyne enterolobii (sin. M. Mayaguensis) em hortaliças.
O emprego de cultivares resistentes traz a vantagem de requerer pequena ou nenhuma tecnologia adicional e, consequentemente, ser de baixo custo e de baixo impacto ambiental.bitstream/item/70337/1/coluna-jadir.pd
Manejo integrado de doenças em hortaliças em cultivo orgânico.
bitstream/item/71690/1/ct-1111.pd
Solanáceas silvestres: potencial de uso como porta-enxertos resistentes ao nematóide-das-galhas (Meloidogyne ssp.).
bitstream/CNPH-2010/36365/1/bpd-57.pd
Reação de acessos de jiloeiro (Solanum aethiopicum var. gilo) a Meloidogyne incognita raça 1.
Resumo 734-
Predicting Future Instance Segmentation by Forecasting Convolutional Features
Anticipating future events is an important prerequisite towards intelligent
behavior. Video forecasting has been studied as a proxy task towards this goal.
Recent work has shown that to predict semantic segmentation of future frames,
forecasting at the semantic level is more effective than forecasting RGB frames
and then segmenting these. In this paper we consider the more challenging
problem of future instance segmentation, which additionally segments out
individual objects. To deal with a varying number of output labels per image,
we develop a predictive model in the space of fixed-sized convolutional
features of the Mask R-CNN instance segmentation model. We apply the "detection
head'" of Mask R-CNN on the predicted features to produce the instance
segmentation of future frames. Experiments show that this approach
significantly improves over strong baselines based on optical flow and
repurposed instance segmentation architectures
Avaliação preliminar de populações de cenoura para reação à mistura populacional de Meloidogyne incognita raça 1 e Meloidogyne javanica.
bitstream/CNPH-2010/36464/1/bpd-61.pd
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