Home › Code › rand_bbox

rand_bbox

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

rand_bbox appears in the code Syntology harvested for 63 papers, as 30 distinct code bodies found in 67 places (a place is one code body under one paper). At least one of them ran in 33 of the papers; 4 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 rand_bbox 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 13 of the 30 distinct code bodies named rand_bbox; 17 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
9ran
17unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 24 of the 67 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

63 papers shown of 63, newest first; 67 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, and the graph's for 4 papers added by Syntology; 1 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
Breaking the Compression Barrier: Cross-Architecture Compression Boundary Learning via Reverse Regrowth added by Syntology 2026-08 (from id) EnumaCaliber/BRIDGE/pretrain_transformer_tiny_imagenet.py bd2e20a9029caafe ran no licence file found · pointer only
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) Jiacheng8/FADRM/relabel/utils_fkd.py 0756a99508caf42c ran · our draft was wrong fingerprinted MIT (permissive)
Be Fair! Can Machine Learning Engineering Agents Adhere to Fairness Constraints? added by Syntology 2026-06 (from id) anna-richter/be-fair/aide/logs/1-basic_prompt/best_solution.py 6b4cb20b431b8d39 ran Apache-2.0 (permissive)
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging added by Syntology 2025-09 (from id) zxcvfd13502/TEA/methods/lisa.py d34a085d71b8f4b5 unverified no licence file found · pointer only
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation 30 Jun 2025 jiacheng8/fadrm/relabel/utils_fkd.py 0756a99508caf42c ran · our draft was wrong fingerprinted MIT (permissive)
Dataset Distillation via Committee Voting 13 Jan 2025 jiacheng8/cv-dd/relabel/utils_fkd.py 0756a99508caf42c ran · our draft was wrong fingerprinted MIT (permissive)
Revisiting the Integration of Convolution and Attention for Vision Backbone 21 Nov 2024 rayleizhu/GLMix/models/glnet_tklb.py bd61d1e4d25b3c45 unverified MIT (permissive)
Visual Data Diagnosis and Debiasing with Concept Graphs 26 Sep 2024 rwchakra/conbias/src/cutmix_proc.py 0756a99508caf42c ran · our draft was wrong fingerprinted MIT (permissive)
D$^4$M: Dataset Distillation via Disentangled Diffusion Model 21 Jul 2024 richards94/D4M/matching/utils_fkd.py 0756a99508caf42c ran · our draft was wrong fingerprinted BSD-2-Clause (permissive)
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model 2 Apr 2024 zhuqinfeng1999/samba/mmseg/models/backbones/Samba.py d84653ce829572b8 ran Apache-2.0 (permissive)
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis 26 Mar 2024 badripatro/heracles/heracles.py d84653ce829572b8 ran no licence file found · pointer only
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series 22 Mar 2024 badripatro/simba/classification/simba.py d84653ce829572b8 ran no licence file found · pointer only
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba 15 Mar 2024 terrypei/efficientvmamba/classification/lib/dataset/mixup.py 3913c620f6926f42 ran no licence file found · pointer only
Corrective Machine Unlearning 21 Feb 2024 drimpossible/corrective-unlearning-bench/src/utils.py 2e865549db6f7e9c ran GPL-3.0 (copyleft) · pointer only
ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections 17 Feb 2024 adiko1997/revit/dataset/mixup.py 1d66bc560c9e0685 ran MIT (permissive)
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model 17 Jan 2024 identical code first harvested elsewhere 0756a99508caf42c ran · our draft was wrong fingerprinted licence of this copy not recorded
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer 7 Jan 2024 cwx-worst-one/eat/utils/mixup.py 3913c620f6926f42 ran MIT (permissive)
Adversarial AutoMixup 19 Dec 2023 JinXins/Adversarial-AutoMixup/openmixup/models/augments/snapmix.py 994d60e6d1a8bdb8 unverified Apache-2.0 (permissive)
EAT: Towards Long-Tailed Out-of-Distribution Detection 14 Dec 2023 stomach-ache/long-tailed-ood-detection/stage1.py dc38cf45af8c7880 unverified no licence file found · pointer only
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers 7 Nov 2023 xyonglu/sbcformer/mixup.py 3913c620f6926f42 ran MIT (permissive)
Label-Only Model Inversion Attacks via Knowledge Transfer 30 Oct 2023 identical code first harvested elsewhere d34a085d71b8f4b5 unverified licence of this copy not recorded
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion 6 Oct 2023 bartwojcik/d2dmoe/utils.py 3913c620f6926f42 ran MIT (permissive)
Dream the Impossible: Outlier Imagination with Diffusion Models 23 Sep 2023 deeplearning-wisc/dream-ood/scripts/train_gene_in100.py d34a085d71b8f4b5 unverified licence not identified · pointer only
RMT: Retentive Networks Meet Vision Transformers 20 Sep 2023 qhfan/RMT/classification_token_label_release/RMT.py c1ed109d6899c9a6 ran no licence file found · pointer only
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks 12 Aug 2023 bollossom/GAC/CODE/ImageNet/train_amp.py fc20496120a56972 ran no licence file found · pointer only
Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation 8 Aug 2023 mark12ding/sta/mixup.py 3913c620f6926f42 ran BSD-2-Clause (permissive)
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition 5 Jul 2023 sunlicai/mae-dfer/mixup.py 3913c620f6926f42 ran MIT (permissive)
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration 20 Jun 2023 sunnysiqi/lnl_k/cell_data/simple_multi_main.py c63a96489175258f unverified MIT (permissive)
E2E-LOAD: End-to-End Long-form Online Action Detection 13 Jun 2023 sqiangcao99/e2e-load/src/datasets/clipmix.py d0250f7370065e10 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers 4 Jun 2023 illidanlab/abd/cmi/vanilla_kd_ood.py d34a085d71b8f4b5 unverified MIT (permissive)
What Can We Learn from Unlearnable Datasets? 30 May 2023 psandovalsegura/learn-from-unlearnable/orthogonal_projection_step_2.py 0756a99508caf42c ran · our draft was wrong fingerprinted no licence file found · pointer only
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions 15 May 2023 ynu-yangpeng/GLMC/GLMC-2023/Trainer.py 94a1b38875494387 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks 4 May 2023 sunshine-ye/nips22-st/mixup.py 3913c620f6926f42 ran MIT (permissive)
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers 21 Apr 2023 megvii-research/TPS-CVPR2023/megengine_codebase/mixup.py 3913c620f6926f42 ran Apache-2.0 (permissive)
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models 15 Mar 2023 hmdolatabadi/avatar/ISS_augs.py b3d09a4dd10e16e3 unverified MIT (permissive)
Reversible Vision Transformers 9 Feb 2023 facebookresearch/mvit/mvit/datasets/mixup.py f18f66adc8c6b70f unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling 9 Jan 2023 keyu-tian/spark/downstream_imagenet/mixup.py 3913c620f6926f42 ran MIT (permissive)
ResFormer: Scaling ViTs with Multi-Resolution Training 1 Dec 2022 ruitian12/resformer/image_classification/mix.py 3913c620f6926f42 ran MIT (permissive)
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning 11 Jul 2022 YehLi/ImageNetModel/classification/dualvit.py 2ce47798c493fe3f unverified Apache-2.0 (permissive)
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning 27 Jun 2022 linziyi96/st-adapter/video_dataset/mixup.py 830c7d87b9bb8311 unverified MIT (permissive)
A Simple Data Mixing Prior for Improving Self-Supervised Learning 15 Jun 2022 OliverRensu/SDMP/moco/moco/builder.py 17dd404572e11129 ran · our draft was wrong fingerprinted no licence file found · pointer only
SP-ViT: Learning 2D Spatial Priors for Vision Transformers 15 Jun 2022 ZhouYuxuanYX/SP-ViT/tlt/models/spvit.py d34a085d71b8f4b5 unverified Apache-2.0 (permissive)
Improving Vision Transformers by Revisiting High-frequency Components 3 Apr 2022 jiawangbai/HAT/models/volo.py b66088e90761117d unverified MIT (permissive)
Automated Progressive Learning for Efficient Training of Vision Transformers 28 Mar 2022 changlin31/autoprog/models/volo.py b66088e90761117d unverified Apache-2.0 (permissive)
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation 18 Mar 2022 lslrh/CPSL/models/adaptation_modelv2.py c8d7e70cf51107f2 ran fingerprinted no licence file found · pointer only
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy 12 Mar 2022 VITA-Group/Diverse-ViT/mix.py d0b649ce5448ea07 unverified MIT (permissive)
Neuromorphic Data Augmentation for Training Spiking Neural Networks 11 Mar 2022 intelligent-computing-lab-yale/nda_snn/functions/data_loaders.py c94f75b96beb7aef unverified MIT (permissive)
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification 1 Dec 2021 identical code first harvested elsewhere 0756a99508caf42c ran · our draft was wrong fingerprinted licence of this copy not recorded
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification 1 Dec 2021 naver-ai/cmo/cifar_train.py dc38cf45af8c7880 unverified MIT (permissive)
Swin Transformer V2: Scaling Up Capacity and Resolution 18 Nov 2021 nku-shengzheliu/PaddlePaddle-Swin-Transformer-V2/mixup.py 484edb411de743ae unverified Apache-2.0 (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 yangyucheng000/mae/src/datasets/mixup.py 3913c620f6926f42 ran Apache-2.0 (permissive)
RepNAS: Searching for Efficient Re-parameterizing Blocks 8 Sep 2021 bestfleer/RepNAS/utils/Mixup.py 45e8fbb4a42814eb unverified MIT (permissive)
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation 6 Jul 2021 alsgkals2/cored/Function_common.py 2e865549db6f7e9c ran MIT (permissive)
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation 6 Jul 2021 alsgkals2/CoReD_Released/Function_common.py d34a085d71b8f4b5 unverified MIT (permissive)
VOLO: Vision Outlooker for Visual Recognition 24 Jun 2021 sail-sg/volo/models/volo.py b66088e90761117d unverified Apache-2.0 (permissive)
Refiner: Refining Self-attention for Vision Transformers 7 Jun 2021 identical code first harvested elsewhere d34a085d71b8f4b5 unverified licence of this copy not recorded
All Tokens Matter: Token Labeling for Training Better Vision Transformers 22 Apr 2021 identical code first harvested elsewhere d34a085d71b8f4b5 unverified licence of this copy not recorded
Data Augmentation for Meta-Learning 14 Oct 2020 RenkunNi/MetaAug/augmentations.py 23e0895db32c5436 unverified MIT (permissive)
T-GD: Transferable GAN-generated Images Detection Framework 10 Aug 2020 cutz-j/T-GD/utils/aug.py d34a085d71b8f4b5 unverified MIT (permissive)
Rethinking Channel Dimensions for Efficient Model Design 2 Jul 2020 ysbsb/ReXNet-PyTorch/train_sgd_randaugv1_cutmix.py d34a085d71b8f4b5 unverified MIT (permissive)
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning 11 Mar 2020 szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning/UnMix_MoCo/for_ImageNet/main_moco_unmix.py d34a085d71b8f4b5 unverified no licence file found · pointer only
On Feature Normalization and Data Augmentation 25 Feb 2020 Boyiliee/MoEx/CIFAR/train_moex.py d34a085d71b8f4b5 unverified BSD-3-Clause (permissive)
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features 13 May 2019 identical code first harvested elsewhere d34a085d71b8f4b5 unverified licence of this copy not recorded
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features 13 May 2019 jis478/Tensorflow/TF2.0/Cutmix/Functions.py c5224b4839efbc28 unverified no licence file found · pointer only
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features 13 May 2019 ildoonet/cutmix/cutmix/cutmix.py b3d09a4dd10e16e3 unverified MIT (permissive)
mixup: Beyond Empirical Risk Minimization 25 Oct 2017 facebookresearch/ClassyVision/classy_vision/dataset/transforms/mixup.py 19ead423fd887adc ran · our draft was wrong MIT (permissive)
arXiv:136850478 leo-gb/UMA/ccs_training/models/cutmix.py d34a085d71b8f4b5 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".

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