| Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition added by Syntology |
2026-05 (from id) |
CVRL/PBM/mrcnn/model.py 719785e60bebf517 |
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2026-04 (from id) |
CagkanYapar/Deployment1Tx/models/diffusion.py 89f84f0bf94f04b5 |
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MIT (permissive) |
| Learning Coverage-and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches added by Syntology |
2026-04 (from id) |
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22 Jul 2024 |
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6 Jun 2024 |
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14 May 2024 |
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24 Apr 2024 |
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17 Apr 2024 |
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16 Apr 2024 |
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| Make Continual Learning Stronger via C-Flat |
1 Apr 2024 |
wannaa/c-flat/convs/conv_imagenet.py 9d556d61294bb0a8 |
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11 Mar 2024 |
2000222/car-damage-detectionv0/mrcnn/model.py 719785e60bebf517 |
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6 Feb 2024 |
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1 Feb 2024 |
leap-stc/ChaosBench/chaosbench/models/cnn.py 143f63c99701b6a9 |
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alviur/pocon_wacv2024/src/approach/FT_online.py e2a5fdc0a059abac |
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31 Aug 2023 |
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10 Jul 2023 |
MengLi-l1/StrokeExtraction/model/model_of_SDNet.py 260713377ec930c1 |
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11 Jun 2023 |
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| Semantic-aware Generation of Multi-view Portrait Drawings |
4 May 2023 |
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| Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration |
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wenyang001/Two-ACIR/Recovery network/models/refined_guiding.py e4c547a7bb20185e |
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| Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models |
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2 Dec 2022 |
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| Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework |
20 Dec 2022 |
lhaof/nuseg/pseudo_label/mrcnn/model.py 8b01bd9e893f43e5 |
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| Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation |
2022-10 (from id) |
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| Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment |
4 Oct 2022 |
cser-tang-hao/bsfa-fsfg/models/conv4.py 9d556d61294bb0a8 |
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10 Mar 2022 |
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25 Jan 2022 |
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| Modeling Mask Uncertainty in Hyperspectral Image Reconstruction |
31 Dec 2021 |
jiamian-wang/mask_uncertainty_spectral_sci/network/GST.py f6ab834d147ab456 |
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| Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data |
4 Dec 2021 |
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14 May 2021 |
RoonakR/Agitation_detection/model/model.py 533809aab30a27fd |
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| Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network |
19 Apr 2021 |
jnjaby/DISCNet/basicsr/models/archs/discnet_arch.py 2088da310e2c1c79 |
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8 Apr 2021 |
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| A contrastive rule for meta-learning |
4 Apr 2021 |
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| Benchmarking Representation Learning for Natural World Image Collections |
30 Mar 2021 |
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| VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency |
8 Jan 2021 |
facebookresearch/visualvoice/models/networks.py 123ba7dfc88acf63 |
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| RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation |
12 Nov 2020 |
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2020-10 (from id) |
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| Cross-Domain Few-Shot Learning by Representation Fusion |
13 Oct 2020 |
ml-jku/chef/models.py 21ffa3647b971a8f |
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| Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning |
2 Oct 2020 |
NVlabs/Bongard-LOGO/Bongard-LOGO_Baselines/models/convnet4.py 9d556d61294bb0a8 |
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| BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation |
15 Sep 2020 |
xxcheng0708/BSNPlusPlus-boundary-sensitive-network/models.py 83a6fac7349fd1f0 |
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| Transductive Information Maximization For Few-Shot Learning |
25 Aug 2020 |
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| Domain Generalization using Causal Matching |
12 Jun 2020 |
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6 Jun 2020 |
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| ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning |
1 Jun 2020 |
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| UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation |
19 Apr 2020 |
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| TACO: Trash Annotations in Context for Litter Detection |
16 Mar 2020 |
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| Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning |
9 Mar 2020 |
cyvius96/few-shot-meta-baseline/meta-dataset/models/convnet4.py 9d556d61294bb0a8 |
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| Denoised Smoothing: A Provable Defense for Pretrained Classifiers |
4 Mar 2020 |
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| UnMask: Adversarial Detection and Defense Through Robust Feature Alignment |
21 Feb 2020 |
safreita1/unmask/Mask_RCNN/mrcnn/model.py 719785e60bebf517 |
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| Estimating Training Data Influence by Tracing Gradient Descent |
19 Feb 2020 |
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17 Dec 2019 |
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| DAmageNet: A Universal Adversarial Dataset |
16 Dec 2019 |
XingLiangLondon/Image-Similarity-in-Percentage/resnet50.py 5e7a557c615eb17e |
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MIT (permissive) |
| Self-Supervised Learning For Few-Shot Image Classification |
14 Nov 2019 |
phecy/SSL-FEW-SHOT/feat/networks/convnet.py 9d556d61294bb0a8 |
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| SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning |
12 Nov 2019 |
mileyan/simple_shot/src/models/Conv4.py 02652b1ac1a54dda |
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20 Aug 2019 |
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| Few-Shot Learning with Global Class Representations |
14 Aug 2019 |
tiangeluo/fsl-global/convnet.py 9d556d61294bb0a8 |
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12 Jun 2019 |
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| On the Connection Between Adversarial Robustness and Saliency Map Interpretability |
10 May 2019 |
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| RetinaFace: Single-stage Dense Face Localisation in the Wild |
2 May 2019 |
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2 Apr 2019 |
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| FCOS: Fully Convolutional One-Stage Object Detection |
2 Apr 2019 |
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26 Feb 2019 |
khassanoff/Speaker_Verification/speech_embedder_net.py 17437f2725b26ae5 |
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| Explaining a black-box using Deep Variational Information Bottleneck Approach |
19 Feb 2019 |
willisk/VIBI/models.py 1b6f041604f5ceb5 |
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12 Feb 2019 |
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| Fast-SCNN: Fast Semantic Segmentation Network |
12 Feb 2019 |
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| Boundary loss for highly unbalanced segmentation |
17 Dec 2018 |
LIVIAETS/boundary-loss/models/residualunet.py b44139feb813153e |
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| A Compact Embedding for Facial Expression Similarity |
27 Nov 2018 |
GerardLiu96/FECNet/FEC.py 729792267d24f02c |
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| A Compact Embedding for Facial Expression Similarity |
27 Nov 2018 |
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7 Aug 2018 |
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| Unsupervised Learning of Object Landmarks through Conditional Image Generation |
20 Jun 2018 |
hqng/imm-pytorch/imm_model.py c0e78e44c61de61a |
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8 Jun 2018 |
ftramer/slalom/python/slalom/resnet.py 1f8b213998b7f612 |
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| ECG arrhythmia classification using a 2-D convolutional neural network |
18 Apr 2018 |
lxdv/ecg-classification/models/models1d.py 8459804c5f269226 |
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| HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation |
9 Apr 2018 |
black0017/MedicalZooPytorch/lib/medzoo/HyperDensenet.py b44139feb813153e |
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| YOLOv3: An Incremental Improvement |
8 Apr 2018 |
DevBruce/YOLOv3-TF2/libs/models/layers.py 67f851a5d61759bc |
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| 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning |
26 Feb 2018 |
dluvizon/deephar/deephar/models/blocks.py dd1d092a82873639 |
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| MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications |
17 Apr 2017 |
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| Mask R-CNN |
20 Mar 2017 |
AKASH2907/bird-species-classification/mask_rcnn/mrcnn/model.py 719785e60bebf517 |
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20 Mar 2017 |
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20 Mar 2017 |
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| Prototypical Networks for Few-shot Learning |
15 Mar 2017 |
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| Prototypical Networks for Few-shot Learning |
15 Mar 2017 |
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15 Mar 2017 |
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| Prototypical Networks for Few-shot Learning |
15 Mar 2017 |
DrMMZ/ProtoNet/model/ProtoNet.py bf404583e5ea3465 |
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| Prototypical Networks for Few-shot Learning |
15 Mar 2017 |
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9 Mar 2017 |
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9 Mar 2017 |
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| Face Aging With Conditional Generative Adversarial Networks |
7 Feb 2017 |
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12 Dec 2016 |
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| StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks |
10 Dec 2016 |
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2 Dec 2016 |
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| Aggregated Residual Transformations for Deep Neural Networks |
16 Nov 2016 |
Sakib1263/ResNet1D-Model-Builder-KERAS/Codes/ResNeXt_2DCNN.py c280f69865379df5 |
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| Aggregated Residual Transformations for Deep Neural Networks |
16 Nov 2016 |
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| Aggregated Residual Transformations for Deep Neural Networks |
16 Nov 2016 |
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| Aggregated Residual Transformations for Deep Neural Networks |
16 Nov 2016 |
Sakib1263/1DResNet-Builder-KERAS/Codes/ResNet_v2_1DCNN.py cdf432637440f6a8 |
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| Aggregated Residual Transformations for Deep Neural Networks |
16 Nov 2016 |
Sakib1263/1DResNet-Builder-KERAS/Codes/ResNet_v2_2DCNN.py 646da7216686f082 |
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| Densely Connected Convolutional Networks |
25 Aug 2016 |
Sakib1263/DenseNet-1D-2D-Tensorflow-Keras/Codes/DenseNet_1DCNN.py a324e3ecd95d62e4 |
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| Densely Connected Convolutional Networks |
25 Aug 2016 |
Sakib1263/DenseNet-1D-2D-Tensorflow-Keras/Codes/DenseNet_2DCNN.py 97627c7cc3973ed6 |
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| Densely Connected Convolutional Networks |
25 Aug 2016 |
lionelmessi6410/ntga/models/densenet.py 4e3b1fedf80792c3 |
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21 Jun 2016 |
chenyizi086/wu.2023.sigspatial/model/unet3d/unet3d.py aaac350375676434 |
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23 May 2016 |
ewinata/CIFAR-10/wresnet20/cifar_10_wresnet20.py 85623751f83e4466 |
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4 Feb 2016 |
gungui98/deeprl-a3c-ai2thor/utils/networks.py ee54b4f2b5bd8b07 |
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| Deep Residual Learning for Image Recognition |
10 Dec 2015 |
Sangkwun/Resnet/resnet.py 2b3e6ce5d8b3fc7f |
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10 Dec 2015 |
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10 Dec 2015 |
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10 Dec 2015 |
manoranjan03/PaperImplementations/RelevantModelCIFAR.py 4e557f59178c9728 |
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| Deep Residual Learning for Image Recognition |
10 Dec 2015 |
fchollet/deep-learning-models/resnet50.py 5e7a557c615eb17e |
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| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
ajjdan/KaI/Model.py e24e6b96a2583167 |
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| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
nikhilroxtomar/semantic-segmentation-architecture/PyTorch/unet.py 6968ac72dcd06a06 |
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| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets/Models.py f12eaf2d9d817665 |
ran · metamorphic tier: deterministic
fingerprinted |
MIT (permissive) |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
BboyHanat/U-Net/network.py fc048a040f09c706 |
ran · metamorphic tier: deterministic
fingerprinted |
no licence file found · pointer only |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
devanshpratapsingh/U-net_for_Multiclass_Segmentation/architecture.py e697c265401d10d1 |
ran · our draft was wrong
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MIT (permissive) |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
nikhilroxtomar/Unet-for-Person-Segmentation/model.py 4e46bedb0bcbfa49 |
ran · fixture could not drive it
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| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
rizalmaulanaa/robustness_of_prob_u_net/Models/builders/UNet.py 9c13a473bd7c1353 |
ran · our draft was wrong
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no licence file found · pointer only |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
SahinTiryaki/Brain-tumor-segmentation-Vgg19UNet/model.py c3583f5940e1f432 |
ran · our draft was wrong
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no licence file found · pointer only |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
FrancisCrickInstitute/Etch-a-Cell-Nuclear-Envelope/src/ml/model.py 599c8f170b4a52c2 |
ran
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licence not identified · pointer only |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
lurenhaothu/CWMI/model/att_unet.py 5716150b612c2bc8 |
ran
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no licence file found · pointer only |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
1044197988/TF.Keras-Commonly-used-models/常用分割模型/Unet_family/Unet_family.py 15d2c13563dfde6c |
ran · metamorphic tier: invariant
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Apache-2.0 (permissive) |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
reenal/melanoma-skin-cancer-image-segmentation/model.py c914c2fd28c84b87 |
ran · our draft was wrong
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Apache-2.0 (permissive) |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
FelixGruen/tensorflow-u-net/architecture/networks.py c2ae69cf2fe659ec |
unverified |
GPL-3.0 (copyleft) · pointer only |
| U-Net: Convolutional Networks for Biomedical Image Segmentation |
18 May 2015 |
harsh-jadhav/SIIM-Pneumothorax-Case-Study2/Deployable Code/model.py f125c9df5118dd63 |
unverified |
no licence file found · pointer only |
| Distilling the Knowledge in a Neural Network |
9 Mar 2015 |
wonbeomjang/Knowledge-Distilling-PyTorch/models.py 0a330946ecfac712 |
ran · our draft was wrong
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MIT (permissive) |
| Going Deeper with Convolutions |
17 Sep 2014 |
cjfghk5697/Pytorch-Research-Paper-Implementations/Vision Models/GoogleNet/models/stl_model.py 30e38658fd407250 |
ran
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MIT (permissive) |
| Two-Stream Convolutional Networks for Action Recognition in Videos |
9 Jun 2014 |
woodfrog/ActionRecognition/models/resnet50.py 5e7a557c615eb17e |
unverified |
MIT (permissive) |
| arXiv:aaai_29393 |
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VGCQ/DSD2/utils/models.py 75200f77df62e20b |
unverified |
MIT (permissive) |
| arXiv:aaai_28229 |
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eezkni/ColNeRF/src/model/InterviewAttention.py c530c864a22f1124 |
unverified |
BSD-2-Clause (permissive) |
| arXiv:aaai_25934 |
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arghosh/DiFA/src/models/layers.py e2a5fdc0a059abac |
ran
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MIT (permissive) |
| arXiv:aaai_20745 |
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dmdmello/HC-MGAN/models/utils.py d48fdd69fa9b81b1 |
unverified |
MIT (permissive) |
| arXiv:2020.emnlp-demos.29 |
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thunlp/isobs/source/ProtoNet.py 4018d80d0425da98 |
ran · our draft was wrong
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MIT (permissive) |