Rethinking Atrous Convolution for Semantic Image Segmentation
GPTKB entity
Statements (84)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Research_Institute
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| gptkbp:aims_to |
Segmentation Accuracy
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| gptkbp:analyzes |
Performance Metrics
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| gptkbp:applies_to |
Deep Learning Models
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| gptkbp:author |
gptkb:Unknown
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| gptkbp:collaborated_with |
Interdisciplinary Research
Research Studies Academic Institutions Interdisciplinary Projects |
| gptkbp:collaborations |
Industry Partners
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Figures
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| gptkbp:contributed_to |
gptkb:viewpoint
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| gptkbp:discusses |
Limitations
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| gptkbp:employs |
gptkb:streaming_service
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| gptkbp:focuses_on |
Semantic Image Segmentation
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| https://www.w3.org/2000/01/rdf-schema#label |
Rethinking Atrous Convolution for Semantic Image Segmentation
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| gptkbp:includes |
References
Experimental Results |
| gptkbp:introduced |
gptkb:Atrous_Convolution
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| gptkbp:is_aimed_at |
gptkb:physicist
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| gptkbp:is_analyzed_in |
Surveys
Data Scientists |
| gptkbp:is_available_in |
Open Access
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| gptkbp:is_cited_in |
Conference Papers
Patents Research Articles Technical Publications Literature Reviews Subsequent Research |
| gptkbp:is_compared_to |
Traditional Convolution
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| gptkbp:is_discussed_in |
Academic Journals
Online Courses Online Forums Webinars Research Seminars Research Blogs |
| gptkbp:is_evaluated_by |
gptkb:literary_work
Model Robustness Academic Peers Research Committees |
| gptkbp:is_explored_in |
gptkb:Workshops
gptkb:Educational_Institution Graduate Students |
| gptkbp:is_featured_in |
Journals
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| gptkbp:is_influenced_by |
Previous Works
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Research Collaborations
Academic Conferences Academic Literature Research Initiatives Research Trends Research Networks |
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gptkb:Twitter_account
Conferences Academic Societies Research Networks Academic Platforms |
| gptkbp:is_referenced_in |
Theses
Research Proposals Technical Reports Research Reviews Academic Theses |
| gptkbp:is_related_to |
gptkb:Deep_Learning
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| gptkbp:is_reviewed_by |
Peer Reviewers
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Research Grants
Research Institutions Funding Agencies Technical Communities |
| gptkbp:is_used_in |
Academic Courses
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| gptkbp:is_utilized_in |
gptkb:AI_Research
Machine Learning Applications Research Projects Tech Companies Data Science Projects |
| gptkbp:presented_by |
Conferences
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| gptkbp:proposed_by |
New Techniques
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| gptkbp:published_by |
gptkb:2023
gptkb:conference |
| gptkbp:suitable_for |
Future Research Directions
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| gptkbp:targets |
Image Processing Applications
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| gptkbp:uses |
gptkb:television_channel
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| gptkbp:utilizes |
Data Augmentation
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| gptkbp:written_in |
English
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| gptkbp:bfsParent |
gptkb:Deep_Lab_Family
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| gptkbp:bfsLayer |
6
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