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2026-02 (from id) |
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2025-10 (from id) |
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26 Mar 2025 |
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31 Jan 2025 |
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28 Nov 2024 |
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26 Nov 2024 |
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25 Nov 2024 |
dixin-lab/bfvr-stc/basicsr/losses/loss_util.py 1ba39317ea81871a |
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22 Nov 2024 |
hustvl/diffusiondrive/navsim/agents/diffusiondrive/modules/multimodal_loss.py 0542dd6d4721de5d |
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29 Oct 2024 |
XiaRho/MADM/modeling/criterion.py 9a78b68ccf3be3bb |
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28 Oct 2024 |
LowlevelAI/ECMamba/basicsr/losses/loss_util.py 1ba39317ea81871a |
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24 Oct 2024 |
shallowdream204/dreamclear/basicsr/losses/loss_util.py 1ba39317ea81871a |
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10 Oct 2024 |
fudan-generative-vision/hallo2/basicsr/losses/loss_util.py 1ba39317ea81871a |
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24 Aug 2024 |
chen-rao/vd-diff/basicsr/losses/loss_util.py 1ba39317ea81871a |
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21 Aug 2024 |
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19 Jun 2024 |
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11 Jun 2024 |
huicongzhang/bsstnet/basicsr/losses/loss_util.py 1ba39317ea81871a |
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2 Jun 2024 |
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16 May 2024 |
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10 May 2024 |
MingTian99/ESDNet/losses.py 91101566c8adc964 |
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17 Apr 2024 |
mandalinadagi/wavelettention/wavelettention/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| Ship in Sight: Diffusion Models for Ship-Image Super Resolution |
27 Mar 2024 |
luigisigillo/shipinsight/basicsr/losses/loss_util.py 1ba39317ea81871a |
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14 Mar 2024 |
EdwardDo69/D3T/experiment/flir_rgb2thermal/losses.py d5b31a76e797a5de |
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13 Mar 2024 |
arsenalcheng/mma/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| Efficient Image Deblurring Networks based on Diffusion Models |
11 Jan 2024 |
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| Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy |
7 Jan 2024 |
xiangtaokong/mioir/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| Iterative Token Evaluation and Refinement for Real-World Super-Resolution |
9 Dec 2023 |
chaofengc/iter/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields |
6 Dec 2023 |
keloee/maskfield/models/focal_loss.py 0b78c3cf1e82d884 |
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| Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration |
28 Nov 2023 |
zhihefang/wf-diff/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation |
17 Aug 2023 |
wenxi-yue/surgicalsam/surgicalSAM/loss.py bd54cbe9d9fb8b02 |
ran
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| Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model |
7 Aug 2023 |
srameo/led/led/losses/loss_util.py 1ba39317ea81871a |
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| Dual Aggregation Transformer for Image Super-Resolution |
7 Aug 2023 |
zhengchen1999/dat/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| Exploiting Diffusion Prior for Real-World Image Super-Resolution |
11 May 2023 |
naagar/art_restoration_dm/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition |
8 May 2023 |
richard-peng-xia/LMPT/lmpt/bl.py 8553862254d49840 |
unverified |
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| Human Guided Ground-truth Generation for Realistic Image Super-resolution |
23 Mar 2023 |
ChrisDud0257/HGGT/ImageEnhancement/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| Recursive Generalization Transformer for Image Super-Resolution |
11 Mar 2023 |
zhengchen1999/RGT/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution |
9 Mar 2023 |
wdmwhh/MRefSR/basicsr/losses/loss_util.py 1ba39317ea81871a |
unverified |
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| DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders |
22 Dec 2022 |
piddnad/ddcolor/basicsr/losses/loss_util.py 1ba39317ea81871a |
unverified |
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| Recurrent Video Restoration Transformer with Guided Deformable Attention |
5 Jun 2022 |
labshuhanggu/mia-vsr/losses/loss_util.py 1ba39317ea81871a |
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| Blueprint Separable Residual Network for Efficient Image Super-Resolution |
12 May 2022 |
xiaom233/bsrn/basicsr/losses/loss_util.py 1ba39317ea81871a |
unverified |
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| Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution |
27 Mar 2022 |
csjliang/DASR/basicsr/losses/loss_util.py 1ba39317ea81871a |
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| EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection |
21 Dec 2021 |
happinesslz/epnetv2/lib/net/seg_utils.py 9a78b68ccf3be3bb |
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| Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection |
9 Dec 2021 |
2gunsu/monocon-pytorch/losses/utils.py d02fb39bb36bc9f7 |
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18 Jul 2021 |
StephenStorm/YOLOX/yolox/models/VariFocalLoss.py 8553862254d49840 |
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| PanNuke Dataset Extension, Insights and Baselines |
24 Mar 2020 |
kaiseem/pointnu-net/losses/generalise_focal_loss.py 8553862254d49840 |
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MIT (permissive) |
| SOLOv2: Dynamic and Fast Instance Segmentation |
23 Mar 2020 |
OpenFirework/pytorch_solov2/modules/solov2.py d5b31a76e797a5de |
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yuhuUSTC/FSDGN/basicsr/losses/loss_util.py 1ba39317ea81871a |
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