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paste_masks_in_image

Syntologyentry name in harvested coderead from the graph 2026-09-24

paste_masks_in_image appears in the code Syntology harvested for 20 papers, as 7 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named paste_masks_in_image do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 3 of the 7 distinct code bodies named paste_masks_in_image; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
3ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 22 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

20 papers shown of 20, newest first; 22 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 3 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving 6 Jun 2024 thinklab-sjtu/bench2drivezoo/mmcv/layers/mask_ops.py c0eac7dcd1335fa1 ran licence not identified · pointer only
Generative Region-Language Pretraining for Open-Ended Object Detection 15 Mar 2024 FoundationVision/GenerateU/detectron2/layers/mask_ops.py c0eac7dcd1335fa1 ran MIT (permissive)
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection 14 Mar 2024 EdwardDo69/D3T/cvpods/cvpods/layers/mask_ops.py fc1b0400223ff90e ran Apache-2.0 (permissive)
What, How, and When Should Object Detectors Update in Continually Changing Test Domains? 12 Dec 2023 natureyoo/continualtta_objectdetection/detectron2/layers/mask_ops.py c0eac7dcd1335fa1 ran Apache-2.0 (permissive)
Instance-level Few-shot Learning with Class Hierarchy Mining 15 Apr 2023 nvakhoa/superclass-fsis/detectron2/layers/mask_ops.py fc1b0400223ff90e ran Apache-2.0 (permissive)
V3Det: Vast Vocabulary Visual Detection Dataset 7 Apr 2023 V3Det/Detectron2-V3Det/detectron2/layers/mask_ops.py c0eac7dcd1335fa1 ran Apache-2.0 (permissive)
Multimodal Object Detection via Probabilistic Ensembling 7 Apr 2021 Jamie725/RGBT-detection/detectron2/layers/mask_ops.py 13b3f33534eea02a unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Planar Surface Reconstruction from Sparse Views 26 Mar 2021 jinlinyi/SparsePlanes/sparsePlane/sparseplane/layers/mask_ops.py 8254e47b641929b1 unverified MIT (permissive)
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers 23 Mar 2021 lkeab/BCNet/detectron2/layers/mask_ops.py f74abd7e1355f8cd unverified MIT (permissive)
Boundary-preserving Mask R-CNN 17 Jul 2020 hustvl/BMaskR-CNN/detectron2/layers/mask_ops.py 5837267fa2aed31c unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge 28 Apr 2020 ying09/TextFuseNet/detectron2/layers/mask_ops.py f74abd7e1355f8cd unverified MIT (permissive)
ResNeSt: Split-Attention Networks 19 Apr 2020 ferna11i/detectron2_ResNeST/detectron2/layers/mask_ops.py 5837267fa2aed31c unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
ResNeSt: Split-Attention Networks 19 Apr 2020 chongruo/detectron2-resnest/detectron2/layers/mask_ops.py 13b3f33534eea02a unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Incremental Object Detection via Meta-Learning 17 Mar 2020 JosephKJ/iOD/detectron2/layers/mask_ops.py f74abd7e1355f8cd unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Equalization Loss for Long-Tailed Object Recognition 11 Mar 2020 tztztztztz/eql.detectron2/detectron2/layers/mask_ops.py fc1b0400223ff90e ran Apache-2.0 recorded; this copy not marked cleared · pointer only
PubLayNet: largest dataset ever for document layout analysis 16 Aug 2019 hpanwar08/detectron2/detectron2/layers/mask_ops.py f74abd7e1355f8cd unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation 24 Apr 2018 waiyulam/ORCNN/detectron2/layers/mask_ops.py fc1b0400223ff90e ran Apache-2.0 recorded; this copy not marked cleared · pointer only
Mask R-CNN 20 Mar 2017 Okery/PyTorch-Simple-MaskRCNN/pytorch_mask_rcnn/model/mask_rcnn.py 5a9465666961697d ran MIT (permissive)
Mask R-CNN 20 Mar 2017 ErikGDev/instance-segmentation/detectron2/layers/mask_ops.py f74abd7e1355f8cd unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
arXiv:aaai_21370 airsplay/py-bottom-up-attention/detectron2/layers/mask_ops.py f74abd7e1355f8cd unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
arXiv:Xu_H2FA_R-CNN_Holistic_and_Hierarchical_Feature_Alignment_for_Cross-Domain_Weakly_CVPR_2022_paper XuYunqiu/H2FA_R-CNN/detectron2/layers/mask_ops.py 5837267fa2aed31c unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
arXiv:Ma_Annealing-Based_Label-Transfer_Learning_for_Open_World_Object_Detection_CVPR_2023_paper DIG-Beihang/ALLOW/detectron2/layers/mask_ops.py 5837267fa2aed31c unverified Apache-2.0 recorded; this copy not marked cleared · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections