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RoIPool

Papers archive 2025-07-28

archive papers tagged: 620 · with a code link: 264 · where Syntology ran a sample: 63 (54 with a run with no instrument failure, 9 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (63 of 620 tagged: 54 with a run with no instrument failure, 9 where every run was a failure of Syntology's instrument)

Page 7 of 7: papers 601 to 620 of 620, newest first by the archive's date (ties by slug), in archive order.

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.

• Deep Fruit Detection in Orchards
  12 Oct 2016 · 0 repositories · arXiv:1610.03677
• Multi-region two-stream R-CNN for action detection
  17 Sep 2016 · 0 repositories
• ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
  14 Sep 2016 · 1 repository · arXiv:1609.04331
• Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
  29 Aug 2016 · 0 repositories · arXiv:1608.08029
• Is Faster R-CNN Doing Well for Pedestrian Detection?
  24 Jul 2016 · 0 repositories · arXiv:1607.07032
• End-to-end training of object class detectors for mean average precision
  12 Jul 2016 · 0 repositories · arXiv:1607.03476
• Face Detection with the Faster R-CNN
  10 Jun 2016 · 1 repository · arXiv:1606.03473
• Adversarial Feature Learning
  31 May 2016 · 10 repositories · arXiv:1605.09782
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• When Do Luxury Cars Hit the Road? Findings by A Big Data Approach
  10 May 2016 · 0 repositories · arXiv:1605.02827
• Faster R-CNN Features for Instance Search
  29 Apr 2016 · 3 repositories · arXiv:1604.08893
• Deep Feature Based Contextual Model for Object Detection
  14 Apr 2016 · 0 repositories · arXiv:1604.04048
• T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
  9 Apr 2016 · 1 repository · arXiv:1604.02532
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• A MultiPath Network for Object Detection
  7 Apr 2016 · 1 repository · arXiv:1604.02135
• Adaptive Object Detection Using Adjacency and Zoom Prediction
  24 Dec 2015 · 1 repository · arXiv:1512.07711
• You Only Look Once: Unified, Real-Time Object Detection
  8 Jun 2015 · 144 repositories · arXiv:1506.02640
  Syntology 89 ran (of which 27 constructed an object rather than computing a result; 59 with no instrument failure: 4 honoured, 4 violated, 51 with no contract checked; 30 where Syntology's instrument failed) · 59 unverified (of 148 harvested samples) · 98 pointer-only (licence)
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  4 Jun 2015 · 196 repositories · arXiv:1506.01497
  Syntology community repositories only · 79 ran (of which 9 constructed an object rather than computing a result; 50 with no instrument failure: 15 honoured, 5 violated, 30 with no contract checked; 29 where Syntology's instrument failed) · 45 unverified (of 124 harvested samples) · 44 pointer-only (licence)
• Accelerating Very Deep Convolutional Networks for Classification and Detection
  26 May 2015 · 0 repositories · arXiv:1505.06798
• Fast R-CNN
  30 Apr 2015 · 30 repositories · arXiv:1504.08083
  Syntology community repositories only · 5 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples) · 1 pointer-only (licence)
• Object Detection Networks on Convolutional Feature Maps
  23 Apr 2015 · 0 repositories · arXiv:1504.06066
• What makes for effective detection proposals?
  17 Feb 2015 · 0 repositories · arXiv:1502.05082