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weighted_loss

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

weighted_loss appears in the code Syntology harvested for 53 papers, as 12 distinct code bodies found in 53 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 1 of the code bodies carries 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 weighted_loss 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 4 of the 12 distinct code bodies named weighted_loss; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
1ran
8unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 18 of the 53 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

53 papers shown of 53, newest first; 53 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 3 papers added by Syntology; 9 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
P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image Enhancement added by Syntology 2026-09 (from id) RuoyuGuo/P-PatchDiff/BasicSR-light/basicsr/losses/loss_util.py 0dc0e03b0e6a68c2 unverified no licence file found · pointer only
Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution added by Syntology 2026-02 (from id) Blazedengcy/GTASR/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement added by Syntology 2025-10 (from id) lyd-2022/Latent-Harmony/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning 4 Jun 2025 liizhang/FedFACT/fedlearn/models/CGFFedclient.py bd068abd69022d0f ran · our draft was wrong no licence file found · pointer only
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery 23 May 2025 hainuo-wang/modem/basicsr/models/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Progressive Focused Transformer for Single Image Super-Resolution 26 Mar 2025 labshuhanggu/pft-sr/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Visual Autoregressive Modeling for Image Super-Resolution 31 Jan 2025 qyp2000/varsr/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Auto-Encoded Supervision for Perceptual Image Super-Resolution 28 Nov 2024 2minkyulee/aesop-auto-encoded-supervision-for-perceptual-image-super-resolution/AESOP/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution 26 Nov 2024 stella-von/MAT/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency 25 Nov 2024 dixin-lab/bfvr-stc/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction 28 Oct 2024 LowlevelAI/ECMamba/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation 24 Oct 2024 shallowdream204/dreamclear/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation 10 Oct 2024 fudan-generative-vision/hallo2/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model 24 Aug 2024 chen-rao/vd-diff/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal 21 Aug 2024 QMoQ/OAPT/oapt/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution 19 Jun 2024 DachunKai/EvTexture/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring 11 Jun 2024 huicongzhang/bsstnet/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Correlation Matching Transformation Transformers for UHD Image Restoration 2 Jun 2024 supersupercong/uhdformer/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model 16 May 2024 yongsongh/irsrmamba/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Learning A Spiking Neural Network for Efficient Image Deraining 10 May 2024 MingTian99/ESDNet/losses.py 67ac1ed0c8d15554 ran no licence file found · pointer only
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution 17 Apr 2024 mandalinadagi/wavelettention/wavelettention/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Ship in Sight: Diffusion Models for Ship-Image Super Resolution 27 Mar 2024 luigisigillo/shipinsight/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Activating Wider Areas in Image Super-Resolution 13 Mar 2024 arsenalcheng/mma/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Efficient Image Deblurring Networks based on Diffusion Models 11 Jan 2024 bnm6900030/swintormer/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy 7 Jan 2024 xiangtaokong/mioir/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Iterative Token Evaluation and Refinement for Real-World Super-Resolution 9 Dec 2023 chaofengc/iter/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration 28 Nov 2023 zhihefang/wf-diff/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model 7 Aug 2023 srameo/led/led/losses/loss_util.py cf63f8afc13f62a7 unverified no licence file found · pointer only
Dual Aggregation Transformer for Image Super-Resolution 7 Aug 2023 zhengchen1999/dat/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Exploiting Diffusion Prior for Real-World Image Super-Resolution 11 May 2023 naagar/art_restoration_dm/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Human Guided Ground-truth Generation for Realistic Image Super-resolution 23 Mar 2023 ChrisDud0257/HGGT/ImageEnhancement/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Recursive Generalization Transformer for Image Super-Resolution 11 Mar 2023 zhengchen1999/RGT/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution 9 Mar 2023 wdmwhh/MRefSR/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders 22 Dec 2022 piddnad/ddcolor/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Recurrent Video Restoration Transformer with Guided Deformable Attention 5 Jun 2022 labshuhanggu/mia-vsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Blueprint Separable Residual Network for Efficient Image Super-Resolution 12 May 2022 xiaom233/bsrn/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution 27 Mar 2022 csjliang/DASR/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding 28 Jan 2022 identical code first harvested elsewhere 365bded1dd42d919 unverified licence of this copy not recorded
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection 21 Dec 2021 happinesslz/epnetv2/lib/net/seg_utils.py 1cba2eaeeb7e3cad unverified MIT (permissive)
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection 9 Dec 2021 2gunsu/monocon-pytorch/losses/utils.py 768c0597a766ae51 unverified Apache-2.0 (permissive)
Learning Affinity-Aware Upsampling for Deep Image Matting 29 Nov 2020 dongdong93/a2u_matting/scripts/trainval.py 5e90e36e1297ff63 ran · fixture could not drive it fingerprinted MIT (permissive)
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery 7 Jul 2020 mobarakol/Surgical_SceneGraph_Generation/evaluation_metrics.py 365bded1dd42d919 unverified no licence file found · pointer only
Unifying distillation and privileged information 11 Nov 2015 lopezpaz/distillation_privileged_information/code/sarcos.py 55c02f0770fe2193 ran · our draft was wrong no licence file found · pointer only
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding 9 Nov 2015 hosshonarvar/Image-Segmentation/others_code/evaluation_object.py 2dee72e12c7f0a5d unverified MIT (permissive)
arXiv:ijcai2024_0081 JPWang-CS/FreqFormer/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
arXiv:aaai_32582 Hankitle/PEIE/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
arXiv:aaai_28354 W-JG/BPOSR/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
arXiv:aaai_28342 VUT-HFUT/EulerMormer/utils/utils.py b4dbdb2619a559b0 unverified MIT (permissive)
arXiv:Zheng_Efficient_Video_Super-Resolution_for_Real-time_Rendering_with_Decoupled_G-buffer_Guidance_CVPR_2025_paper sunny2109/RDG/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified Apache-2.0 (permissive)
arXiv:Pan_Deep_Discriminative_Spatial_and_Temporal_Network_for_Efficient_Video_Deblurring_CVPR_2023_paper xuboming8/DSTNet/basicsr/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
arXiv:Kong_Efficient_Frequency_Domain-Based_Transformers_for_High-Quality_Image_Deblurring_CVPR_2023_paper kkkls/FFTformer/basicsr/models/losses/loss_util.py cf63f8afc13f62a7 unverified MIT (permissive)
arXiv:Chao_Equivalent_Transformation_and_Dual_Stream_Network_Construction_for_Mobile_Image_CVPR_2023_paper ECNUSR/ETDS/core/losses/loss_util.py b873cfe2f6901f47 unverified Apache-2.0 (permissive)
arXiv:136790177 yuhuUSTC/FSDGN/basicsr/losses/loss_util.py cf63f8afc13f62a7 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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