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align_and_update_state_dicts

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

align_and_update_state_dicts appears in the code Syntology harvested for 21 papers, as 7 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 0 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 align_and_update_state_dicts 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 0 of the 7 distinct code bodies named align_and_update_state_dicts; 7 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
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 21 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

21 papers shown of 21, newest first; 21 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; 4 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
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection 11 Oct 2024 Therock90421/DA-Ada/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
Bridging the Gap Between End-to-End and Two-Step Text Spotting 6 Apr 2024 mxin262/swintextspotter/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified no licence file found · pointer only
Generative Region-Language Pretraining for Open-Ended Object Detection 15 Mar 2024 FoundationVision/GenerateU/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified MIT (permissive)
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection 14 Mar 2024 EdwardDo69/D3T/cvpods/cvpods/checkpoint/c2_model_loading.py b044ff5e9fca0167 unverified Apache-2.0 (permissive)
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector 5 Feb 2024 lovelyqian/CDFSOD-benchmark/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
What, How, and When Should Object Detectors Update in Continually Changing Test Domains? 12 Dec 2023 natureyoo/continualtta_objectdetection/detectron2/checkpoint/c2_model_loading.py 12ac3169b5ff0207 unverified Apache-2.0 (permissive)
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation 5 Oct 2023 UARK-AICV/OpenFusion/openfusion/zoo/xdecoder_seem/utils/model_loading.py bb539a6de918aa6a unverified no licence file found · pointer only
Detect Everything with Few Examples 22 Sep 2023 mlzxy/devit/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified MIT (permissive)
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection 1 Jul 2023 eaphan/stemd/efg/utils/d2_model_loading.py 4552d09aa9f10a7e unverified Apache-2.0 (permissive)
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses 9 Jun 2023 poodarchu/EFG/efg/utils/d2_model_loading.py 4552d09aa9f10a7e unverified Apache-2.0 (permissive)
arXiv:2306.05718 2023-06 (from id) Therock90421/DA-Pro/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified MIT (permissive)
V3Det: Vast Vocabulary Visual Detection Dataset 7 Apr 2023 V3Det/Detectron2-V3Det/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
Assessing Domain Gap for Continual Domain Adaptation in Object Detection 21 Feb 2023 dadung/dge-cda/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection 14 Dec 2022 poodarchu/ConQueR/efg/utils/d2_model_loading.py 4552d09aa9f10a7e unverified Apache-2.0 (permissive)
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks 17 Nov 2022 fundamentalvision/Uni-Perceiver/uniperceiver/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
Unified Transformer Tracker for Object Tracking 29 Mar 2022 flowerfan/trackron/trackron/checkpoint/model_loading.py 86dca340a4dfe50c unverified MIT (permissive)
SGTR: End-to-end Scene Graph Generation with Transformer 24 Dec 2021 scarecrow0/sgtr/cvpods/checkpoint/c2_model_loading.py f5c486b4bfc7db37 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
PointRend: Image Segmentation as Rendering 17 Dec 2019 ayoolaolafenwa/PixelLib/pixellib/torchbackend/instance/checkpoint/c2_model_loading.py ac2638463572c152 unverified MIT (permissive)
arXiv:Zhou_When_Pixel_Difference_Patterns_Meet_ViT_PiDiViT_for_Few-Shot_Object_ICCV_2025_paper Seaz9/PiDiViT/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
arXiv:Zhong_RegionCLIP_Region-Based_Language-Image_Pretraining_CVPR_2022_paper microsoft/RegionCLIP/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified Apache-2.0 (permissive)
arXiv:Yue_Connecting_the_Dots_Floorplan_Reconstruction_Using_Two-Level_Queries_CVPR_2023_paper ywyue/RoomFormer/detectron2/checkpoint/c2_model_loading.py ac2638463572c152 unverified MIT (permissive)

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".

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