Methods › Computer Vision › Object Detection Models › Cascade R-CNN › Papers where code ran, page 1
Cascade R-CNN
Papers archive 2025-07-28
archive papers tagged: 34 · with a code link: 20 · where Syntology ran a sample: 8 (6 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (8 of 34 tagged: 6 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 8 of the 8 tagged papers where Syntology ran at least one harvested sample (6 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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FQDet: Fast-converging Query-based Detector 5 Oct 2022 · 2 repositories · arXiv:2210.02318Syntology official (archive's flag): 2 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples) · 3 pointer-only (licence)
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Instances as Queries 5 May 2021 · 5 repositories · arXiv:2105.01928Syntology community repositories only · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 1 pointer-only (licence)
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CBNet: A Novel Composite Backbone Network Architecture for Object Detection 9 Sep 2019 · 6 repositories · arXiv:1909.03625Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 1 pointer-only (licence)
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Deep High-Resolution Representation Learning for Visual Recognition 20 Aug 2019 · 42 repositories · arXiv:1908.07919Syntology 21 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 1 violated, 18 with no contract checked; 2 where Syntology's instrument failed) · 13 unverified (of 34 harvested samples) · 21 pointer-only (licence)
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Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks 23 May 2019 · 3 repositories · arXiv:1905.09646Syntology community repositories only · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Hybrid Task Cascade for Instance Segmentation 22 Jan 2019 · 5 repositories · arXiv:1901.07518Syntology community repositories only · 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 11 harvested samples)
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Acquisition of Localization Confidence for Accurate Object Detection 30 Jul 2018 · 4 repositories · arXiv:1807.11590Syntology community repositories only · 17 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 18 harvested samples) · 2 pointer-only (licence)
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Cascade R-CNN: Delving into High Quality Object Detection 3 Dec 2017 · 8 repositories · arXiv:1712.00726Syntology official: no sample here; runs from other or unrecorded repositories · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)