Methods › Computer Vision › Semantic Segmentation Models › DeepLabv3 › Papers where code ran, page 1

DeepLabv3

Papers archive 2025-07-28

archive papers tagged: 53 · with a code link: 31 · where Syntology ran a sample: 11 (11 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (11 of 53 tagged: 11 with a run with no instrument failure, 0 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 11 of the 11 tagged papers where Syntology ran at least one harvested sample (11 with a run with no instrument failure, 0 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.

• Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images
  21 Sep 2022 · 1 repository · arXiv:2209.10700
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
  17 Oct 2021 · 5 repositories · arXiv:2110.08733
  Syntology community repositories only · 4 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; 2 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
• Categorical Depth Distribution Network for Monocular 3D Object Detection
  1 Mar 2021 · 2 repositories · arXiv:2103.01100
  Syntology official (archive's flag): 2 ran · 2 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; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result (of 2 harvested samples)
• Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
  11 Feb 2021 · 2 repositories · arXiv:2102.06191
  Syntology official (archive's flag): 1 ran · 2 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; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result (of 2 harvested samples) · 2 pointer-only (licence)
• Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
  26 Jan 2021 · 2 repositories · arXiv:2101.10979
  Syntology official (archive's flag): 8 ran · 8 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified (of 17 harvested samples)
• A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
  8 May 2020 · 2 repositories · arXiv:2005.04078
  Syntology official (archive's flag): 5 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
• ResNeSt: Split-Attention Networks
  19 Apr 2020 · 36 repositories · arXiv:2004.08955
  Syntology official (archive's flag): 5 ran · 28 ran (of which 0 constructed an object rather than computing a result; 25 with no instrument failure: 0 honoured, 0 violated, 25 with no contract checked; 3 where Syntology's instrument failed) · 20 unverified (of 48 harvested samples) · 23 pointer-only (licence)
• PointRend: Image Segmentation as Rendering
  17 Dec 2019 · 14 repositories · arXiv:1912.08193
  Syntology community repositories only · 16 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 18 harvested samples)
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
  7 Feb 2018 · 78 repositories · arXiv:1802.02611
  Syntology community repositories only · 44 ran (of which 17 constructed an object rather than computing a result; 28 with no instrument failure: 2 honoured, 0 violated, 26 with no contract checked; 16 where Syntology's instrument failed) · 28 unverified (of 72 harvested samples) · 40 pointer-only (licence)
• MobileNetV2: Inverted Residuals and Linear Bottlenecks
  13 Jan 2018 · 159 repositories · arXiv:1801.04381
  Syntology 85 ran (of which 40 constructed an object rather than computing a result; 65 with no instrument failure: 8 honoured, 0 violated, 57 with no contract checked; 20 where Syntology's instrument failed) · 26 unverified (of 111 harvested samples) · 64 pointer-only (licence)
• Rethinking Atrous Convolution for Semantic Image Segmentation
  17 Jun 2017 · 77 repositories · arXiv:1706.05587
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 7 harvested samples) · 3 pointer-only (licence)