Methods › General › Fourier-related Transforms › Discrete Cosine Transform › Papers where code ran, page 1
Discrete Cosine Transform
Papers archive 2025-07-28
archive papers tagged: 212 · with a code link: 66 · where Syntology ran a sample: 11 (10 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (11 of 212 tagged: 10 with a run with no instrument failure, 1 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 (10 with a run with no instrument failure, 1 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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DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space 19 Dec 2024 · 1 repository · arXiv:2412.15032Syntology official (archive's flag): 1 ran · 1 ran (of which 1 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) · 1 unverified; the one sample that ran constructed an object rather than computing a result (of 2 harvested samples)
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Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger 10 Dec 2024 · 1 repository · arXiv:2412.07277Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified (of 12 harvested samples) · 12 pointer-only (licence)
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DiJiang: Efficient Large Language Models through Compact Kernelization 29 Mar 2024 · 1 repository · arXiv:2403.19928Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 6 pointer-only (licence)
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Frequency-Adaptive Pan-Sharpening with Mixture of Experts 4 Jan 2024 · 1 repository · arXiv:2401.02151Syntology official (archive's flag): 12 ran · 12 ran (of which 10 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified (of 17 harvested samples) · 17 pointer-only (licence)
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Real-time Wireless ECG-derived Respiration Rate Estimation Using an Autoencoder with a DCT Layer 15 Nov 2022 · 1 repository · arXiv:2211.08491Syntology 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) · 0 unverified (of 2 harvested samples)
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Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets 25 Oct 2022 · 1 repository · arXiv:2210.14319Syntology official (archive's flag): 4 ran · 4 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; 2 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples) · 7 pointer-only (licence)
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Back to MLP: A Simple Baseline for Human Motion Prediction 4 Jul 2022 · 1 repository · arXiv:2207.01567Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples) · 3 pointer-only (licence)
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Generating Images with Sparse Representations 5 Mar 2021 · 2 repositories · arXiv:2103.03841Syntology 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks 5 Oct 2020 · 1 repository · arXiv:2010.01795Syntology official (archive's flag): 1 ran · 1 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; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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On the use of Benford's law to detect GAN-generated images 16 Apr 2020 · 1 repository · arXiv:2004.07682Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Harmonic Convolutional Networks based on Discrete Cosine Transform 18 Jan 2020 · 1 repository · arXiv:2001.06570Syntology official (archive's flag): 10 ran · 10 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; 0 where Syntology's instrument failed) · 0 unverified (of 10 harvested samples)