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Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2675166
Abstract: Recent works on deep conditional random fields (CRFs) have set new records on many vision tasks involving structured predictions. Here, we propose a fully connected deep continuous CRF model with task-specific losses for both discrete…
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Keywords:
task;
specific loss;
task specific;
crfs ... See more keywords
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Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2906204
Abstract: Fully connected pairwise Conditional Random Fields (Full-CRF) with Gaussian edge weights can achieve superior results compared to sparsely connected CRFs. However, traditional methods for Full-CRFs are too expensive. Previous work develops efficient approximate optimization based…
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Keywords:
full crfs;
optimization;
crfs;
crf ... See more keywords
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Published in 2018 at "Biological Reviews"
DOI: 10.1111/brv.12423
Abstract: Teleost fishes are the most diverse group of vertebrates on Earth. On tropical coral reefs, their species richness exceeds 6000 species; one tenth of total vertebrate biodiversity. A large proportion of this diversity is composed…
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Keywords:
ecology;
coral reef;
crfs;
biodiversity ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0187273
Abstract: This study explored the conservation values of communally reserved forests (CRFs), which local indigenous communities deliberately preserve within their area of shifting cultivation. In the current landscape of rural Borneo, CRFs are the only option…
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Keywords:
communally reserved;
conservation;
crfs;
biodiversity ... See more keywords