Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones
Github: https://github.com/PaddlePaddle/PaddleClas
Paper: https://arxiv.org/abs/2103.05959v1
@ArtificialIntelligencedl
Github: https://github.com/PaddlePaddle/PaddleClas
Paper: https://arxiv.org/abs/2103.05959v1
@ArtificialIntelligencedl
GitHub
GitHub - PaddlePaddle/PaddleClas: A treasure chest for visual classification and recognition powered by PaddlePaddle
A treasure chest for visual classification and recognition powered by PaddlePaddle - PaddlePaddle/PaddleClas
TimeSformer: A new architecture for video understanding
https://ai.facebook.com/blog/timesformer-a-new-architecture-for-video-understanding/
Paper: https://arxiv.org/abs/2102.05095
@ArtificialIntelligencedl
https://ai.facebook.com/blog/timesformer-a-new-architecture-for-video-understanding/
Paper: https://arxiv.org/abs/2102.05095
@ArtificialIntelligencedl
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Github: https://github.com/csuhan/ReDet
Paper: https://arxiv.org/abs/2103.07733v1
@ArtificialIntelligencedl
Github: https://github.com/csuhan/ReDet
Paper: https://arxiv.org/abs/2103.07733v1
@ArtificialIntelligencedl
Forwarded from TensorFlow
Contactless Sleep Sensing in Nest Hub
https://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html
@tensorflowblog
https://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html
@tensorflowblog
Googleblog
Contactless Sleep Sensing in Nest Hub
Natural Language Processing Pipelines, Explained
https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html
@ArtificialIntelligencedl
UPANets: Learning from the Universal Pixel Attention Networks Edit social preview
Github: https://github.com/hanktseng131415go/UPANets
Paper: https://arxiv.org/pdf/2103.08640.pdf
@ArtificialIntelligencedl
Github: https://github.com/hanktseng131415go/UPANets
Paper: https://arxiv.org/pdf/2103.08640.pdf
@ArtificialIntelligencedl
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Training GANs with Stronger Augmentations via Contrastive Discriminator Edit social preview
Github: https://github.com/jh-jeong/ContraD
Paper: https://arxiv.org/abs/2103.09742
@ArtificialIntelligencedl
Github: https://github.com/jh-jeong/ContraD
Paper: https://arxiv.org/abs/2103.09742
@ArtificialIntelligencedl
You Only Look One-level Feature
Github: https://github.com/megvii-model/YOLOF
Object detector without FPN: https://github.com/chensnathan/YOLOF
Paper: https://arxiv.org/abs/2103.09460v1
@ArtificialIntelligencedl
Github: https://github.com/megvii-model/YOLOF
Object detector without FPN: https://github.com/chensnathan/YOLOF
Paper: https://arxiv.org/abs/2103.09460v1
@ArtificialIntelligencedl
A Gentle Introduction to XGBoost Loss Functions
https://machinelearningmastery.com/xgboost-loss-functions/
@ArtificialIntelligencedl
https://machinelearningmastery.com/xgboost-loss-functions/
@ArtificialIntelligencedl
MachineLearningMastery.com
A Gentle Introduction to XGBoost Loss Functions - MachineLearningMastery.com
XGBoost is a powerful and popular implementation of the gradient boosting ensemble algorithm. An important aspect in configuring XGBoost models is the choice of loss function that is minimized during the training of the model. The loss function must be matched…
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Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
Github: https://github.com/594422814/TransformerTrack
Paper: https://arxiv.org/abs/2103.11681v1
@ArtificialIntelligencedl
Github: https://github.com/594422814/TransformerTrack
Paper: https://arxiv.org/abs/2103.11681v1
@ArtificialIntelligencedl
Pose-Transfer
Github: https://github.com/tengteng95/Pose-Transfer
Paper: https://arxiv.org/abs/1904.03349
@ArtificialIntelligencedl
Github: https://github.com/tengteng95/Pose-Transfer
Paper: https://arxiv.org/abs/1904.03349
@ArtificialIntelligencedl
Introducing PyTorch Profiler - the new and improved performance tool
https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/
Documentation: https://pytorch.org/docs/stable/profiler.html
@ArtificialIntelligencedl
https://pytorch.org/blog/introducing-pytorch-profiler-the-new-and-improved-performance-tool/
Documentation: https://pytorch.org/docs/stable/profiler.html
@ArtificialIntelligencedl
I'm AI names colors much as humans do
https://ai.facebook.com/blog/ai-names-colors-much-as-humans-do/
Paper: https://www.pnas.org/content/118/12/e2016569118
Code: https://github.com/rahmacha/EGG
@ArtificialIntelligencedl
https://ai.facebook.com/blog/ai-names-colors-much-as-humans-do/
Paper: https://www.pnas.org/content/118/12/e2016569118
Code: https://github.com/rahmacha/EGG
@ArtificialIntelligencedl
Tune XGBoost Performance With Learning Curves
https://machinelearningmastery.com/tune-xgboost-performance-with-learning-curves/
@ArtificialIntelligencedl
https://machinelearningmastery.com/tune-xgboost-performance-with-learning-curves/
@ArtificialIntelligencedl
OTA: Optimal Transport Assignment for Object Detection
Github: https://github.com/Megvii-BaseDetection/OTA
Paper: https://arxiv.org/abs/2103.14259
@ArtificialIntelligencedl
Github: https://github.com/Megvii-BaseDetection/OTA
Paper: https://arxiv.org/abs/2103.14259
@ArtificialIntelligencedl
Changing the Mind of Transformers for Topically-Controllable Language Generation
Github: https://github.com/iesl/interactive_LM
Paper: https://arxiv.org/abs/2103.15335v1
@ArtificialIntelligencedl
Github: https://github.com/iesl/interactive_LM
Paper: https://arxiv.org/abs/2103.15335v1
@ArtificialIntelligencedl
Symbolic Music Generation with Diffusion Models
Github: https://github.com/magenta/symbolic-music-diffusion
Paper: https://arxiv.org/abs/2103.16091v1
@ArtificialIntelligencedl
Github: https://github.com/magenta/symbolic-music-diffusion
Paper: https://arxiv.org/abs/2103.16091v1
@ArtificialIntelligencedl
How to Perform Malaria Classification using TensorFlow 2 and Keras in Python
https://www.thepythoncode.com/article/malaria-cells-classification
@ArtificialIntelligencedl
https://www.thepythoncode.com/article/malaria-cells-classification
@ArtificialIntelligencedl
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Easy, Open-Source AutoML in Python with EvalML
https://innovation.alteryx.com/introducing-evalml/
@ArtificialIntelligencedl
https://innovation.alteryx.com/introducing-evalml/
@ArtificialIntelligencedl
The surprising impact of mask-head architecture on novel class segmentation
Github: https://github.com/zeliu98/Group-Free-3D
Paper: https://arxiv.org/abs/2104.00678v1
@ArtificialIntelligencedl
Github: https://github.com/zeliu98/Group-Free-3D
Paper: https://arxiv.org/abs/2104.00678v1
@ArtificialIntelligencedl
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