Leordeanu_M_Unsupervised_learning_in_space_and_time_Springer_2020.pdf
6.2 MB
Unsupervised Learning in Space and Time
A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks
#book #2020 #ML #DL
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A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks
#book #2020 #ML #DL
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🔍 Contrastive Sensor Fusion
Github: https://github.com/descarteslabs/contrastive_sensor_fusion
Paper: https://arxiv.org/abs/2108.05094v1
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Github: https://github.com/descarteslabs/contrastive_sensor_fusion
Paper: https://arxiv.org/abs/2108.05094v1
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📹 Internal Video Inpainting by Implicit Long-range Propagation
Github: https://github.com/Tengfei-Wang/Implicit-Internal-Video-Inpainting
Paper: https://arxiv.org/abs/2108.01912v1
4k Data: https://github.com/Tengfei-Wang/Annotated-4K-Videos
Dataset: https://paperswithcode.com/dataset/videoremoval4k
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Github: https://github.com/Tengfei-Wang/Implicit-Internal-Video-Inpainting
Paper: https://arxiv.org/abs/2108.01912v1
4k Data: https://github.com/Tengfei-Wang/Annotated-4K-Videos
Dataset: https://paperswithcode.com/dataset/videoremoval4k
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Tapsai2021_Book_ThaiNaturalLanguageProcessing.pdf
15 MB
Thai Natural Language
Processing
Word Segmentation, Semantic Analysis,
and Application #NLP #Book #2021
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Processing
Word Segmentation, Semantic Analysis,
and Application #NLP #Book #2021
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2021_Book_FormalisingNaturalLanguagesApp.pdf
33.3 MB
Formalising Natural
Languages: Applications
to Natural Language
Processing and Digital
Humanities #NLP #Book #2021
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Languages: Applications
to Natural Language
Processing and Digital
Humanities #NLP #Book #2021
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Sabharwal-Agrawal2021_Book_Hands-onQuestionAnsweringSyste.pdf
4.8 MB
Hands-on Question
Answering Systems
with BERT
Applications in Neural
Networks and Natural
Language Processing #NLP #BERT #book #2021
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Answering Systems
with BERT
Applications in Neural
Networks and Natural
Language Processing #NLP #BERT #book #2021
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👍1
Cicolani2021_Book_BeginningRoboticsWithRaspberry.pdf
7.3 MB
Beginning Robotics
with Raspberry Pi
and Arduino
Using Python and OpenCV
Second Edition #OpenCv #book #2021
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with Raspberry Pi
and Arduino
Using Python and OpenCV
Second Edition #OpenCv #book #2021
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👍1
2021_Book_SmartComputingTechniquesAndApp.pdf
33.6 MB
Smart Computing
Techniques and Applications
Proceedings of the Fourth International
Conference on Smart Computing
and Informatics, Volume 1 #book #2021
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Techniques and Applications
Proceedings of the Fourth International
Conference on Smart Computing
and Informatics, Volume 1 #book #2021
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🔍 TOOD: Task-aligned One-stage Object Detection
Github: https://github.com/fcjian/TOOD
Paper: https://arxiv.org/abs/2108.07755v2
Dataset: https://paperswithcode.com/dataset/coco
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Github: https://github.com/fcjian/TOOD
Paper: https://arxiv.org/abs/2108.07755v2
Dataset: https://paperswithcode.com/dataset/coco
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🔗 A Unified Objective for Novel Class Discovery
Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
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Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
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💡 X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
Github: https://github.com/yehli/xmodaler
Paper: https://arxiv.org/abs/2108.08217v1
Project: https://xmodaler.readthedocs.io/en/latest/
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Github: https://github.com/yehli/xmodaler
Paper: https://arxiv.org/abs/2108.08217v1
Project: https://xmodaler.readthedocs.io/en/latest/
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🧍♂ D3D-HOI: Dynamic 3D Human-Object Interactions from Videos
Github: https://github.com/facebookresearch/d3d-hoi
Paper: https://arxiv.org/abs/2108.08420v1
Dataset: https://dl.fbaipublicfiles.com/d3d-hoi/d3dhoi_video_data.zip
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Github: https://github.com/facebookresearch/d3d-hoi
Paper: https://arxiv.org/abs/2108.08420v1
Dataset: https://dl.fbaipublicfiles.com/d3d-hoi/d3dhoi_video_data.zip
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GitHub
GitHub - facebookresearch/d3d-hoi: We create D3D-HOI a dataset of monocular videos with ground truth annotations of 3D object pose…
We create D3D-HOI a dataset of monocular videos with ground truth annotations of 3D object pose and part motion during human-object interaction. - facebookresearch/d3d-hoi
🕸 Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Github: https://github.com/VITA-Group/Deep_GCN_Benchmarking
Paper: https://arxiv.org/abs/2108.10521v1
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Github: https://github.com/VITA-Group/Deep_GCN_Benchmarking
Paper: https://arxiv.org/abs/2108.10521v1
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