Methods › Computer Vision › Vision Transformers › DINO › Papers, page 3
self-DIstillation with NO labels
DINO
Papers archive 2025-07-28
archive papers tagged: 208 · with a code link: 105 · where Syntology ran a sample: 30 (28 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 (30 of 208 tagged: 28 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Page 3 of 3: papers 201 to 208 of 208, 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.
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Weakly Supervised 3D Open-vocabulary Segmentation 23 May 2023 · 1 repository · arXiv:2305.14093Syntology official (archive's flag): 12 ran · 12 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 14 harvested samples) · 10 pointer-only (licence)
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Improving CLIP Fine-tuning Performance 1 Jan 2023 · 1 repository
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K-means for unsupervised instance segmentation using a self-supervised transformer 4 Oct 2022 · 0 repositories
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Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning 22 Sep 2022 · 1 repository · arXiv:2209.10901
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Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference 15 Apr 2022 · 1 repository · arXiv:2204.07305Syntology official (archive's flag): 14 ran · 14 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 6 where Syntology's instrument failed) · 5 unverified (of 19 harvested samples) · 4 pointer-only (licence)
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Hyperbolic Vision Transformers: Combining Improvements in Metric Learning 21 Mar 2022 · 2 repositories · arXiv:2203.10833Syntology official (archive's flag): 4 ran · 4 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; 3 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
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Unsupervised Semantic Segmentation by Distilling Feature Correspondences 16 Mar 2022 · 3 repositories · arXiv:2203.08414Syntology official (archive's flag): 3 ran · 11 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (of 14 harvested samples) · 1 pointer-only (licence)
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Emerging Properties in Self-Supervised Vision Transformers 29 Apr 2021 · 32 repositories · arXiv:2104.14294Syntology official: no sample here; runs from other or unrecorded repositories · 14 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 1 violated, 9 with no contract checked; 4 where Syntology's instrument failed) · 6 unverified (of 20 harvested samples) · 4 pointer-only (licence)