☑️ One-shot Affordance Detection
Github: https://github.com/lhc1224/OSAD_Net
Paper: https://arxiv.org/abs/2202.12076v1
Dataset: https://paperswithcode.com/dataset/pad
@ai_machinelearning_big_data
Github: https://github.com/lhc1224/OSAD_Net
Paper: https://arxiv.org/abs/2202.12076v1
Dataset: https://paperswithcode.com/dataset/pad
@ai_machinelearning_big_data
👍4❤1
👁 Visual Attention Network (VAN)
Github: https://github.com/Visual-Attention-Network/VAN-Classification
Paper: https://arxiv.org/pdf/2202.09741.pdf
Dataset: https://paperswithcode.com/dataset/ade20k
@ai_machinelearning_big_data
Github: https://github.com/Visual-Attention-Network/VAN-Classification
Paper: https://arxiv.org/pdf/2202.09741.pdf
Dataset: https://paperswithcode.com/dataset/ade20k
@ai_machinelearning_big_data
👍10
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💥 Local and Global GANs with Semantic-Aware Upsampling for Image Generation
Github: https://github.com/Ha0Tang/LGGAN
Paper: https://arxiv.org/abs/2203.00047v1
Dataset: https://paperswithcode.com/dataset/cityscapes
@ai_machinelearning_big_data
Github: https://github.com/Ha0Tang/LGGAN
Paper: https://arxiv.org/abs/2203.00047v1
Dataset: https://paperswithcode.com/dataset/cityscapes
@ai_machinelearning_big_data
❤5👍3
🎲 Bayesian IRT models in Python
Github: https://github.com/nd-ball/py-irt
Paper: https://arxiv.org/abs/2203.01282v1
Bayesian IRT: https://m-clark.github.io/models-by-example/bayesian-irt.html
@ai_machinelearning_big_data
Github: https://github.com/nd-ball/py-irt
Paper: https://arxiv.org/abs/2203.01282v1
Bayesian IRT: https://m-clark.github.io/models-by-example/bayesian-irt.html
@ai_machinelearning_big_data
👍8🔥2
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easier.
I wrote a manual on machine learning that
everyone understands - Machine Learning Simplified Book. The main purpose of my book is to build an intuitive
understanding of how algorithms work through basic examples. In order to understand the presented material,
it is enough to know basic mathematics and linear algebra.
After reading this book, you will know the basics of supervised learning, understand complex mathematical models, understand the entire pipeline of a typical ML project, and also be able to share your knowledge with colleagues from related industries and with technical
professionals.
You can read the book absolutely free at the link below:
-> https://themlsbook.com
👍35❤7🔥6👎1
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⚫️ Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
Github: https://github.com/ghostish/open3dsot
Paper: https://arxiv.org/abs/2203.01730v1
Dataset: https://paperswithcode.com/dataset/kitti
@ai_machinelearning_big_data
Github: https://github.com/ghostish/open3dsot
Paper: https://arxiv.org/abs/2203.01730v1
Dataset: https://paperswithcode.com/dataset/kitti
@ai_machinelearning_big_data
❤10🔥3👍1
🎓 StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
Github: https://github.com/royorel/StyleSDF
Paper: https://arxiv.org/abs/2112.11427v1
Project: https://stylesdf.github.io/
Dataset: https://paperswithcode.com/dataset/ffhq
@ai_machinelearning_big_data
Github: https://github.com/royorel/StyleSDF
Paper: https://arxiv.org/abs/2112.11427v1
Project: https://stylesdf.github.io/
Dataset: https://paperswithcode.com/dataset/ffhq
@ai_machinelearning_big_data
👍7❤4
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🔲 Kubric A data generation pipeline for creating semi-realistic synthetic multi-object videos
Github: https://github.com/google-research/kubric
Paper: https://arxiv.org/abs/2203.03570v1
Docs: https://kubric.readthedocs.io/
Dataset: https://github.com/deepmind/multi_object_datasets
@ai_machinelearning_big_data
Github: https://github.com/google-research/kubric
Paper: https://arxiv.org/abs/2203.03570v1
Docs: https://kubric.readthedocs.io/
Dataset: https://github.com/deepmind/multi_object_datasets
@ai_machinelearning_big_data
👍11
♟ Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
Github: https://github.com/PruneTruong/DenseMatching
Paper: https://arxiv.org/abs/2203.04279v1
Project: https://prunetruong.com/research/warpc
Dataset: https://paperswithcode.com/dataset/pf-pascal
@ai_machinelearning_big_data
Github: https://github.com/PruneTruong/DenseMatching
Paper: https://arxiv.org/abs/2203.04279v1
Project: https://prunetruong.com/research/warpc
Dataset: https://paperswithcode.com/dataset/pf-pascal
@ai_machinelearning_big_data
❤7👍3
🗿 StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis
Github: https://github.com/facebookresearch/StyleNeRF
Video: http://jiataogu.me/style_nerf
Paper: https://arxiv.org/abs/2110.08985
Project: http://jiataogu.me/style_nerf/
Dataset: https://github.com/facebookresearch/StyleNeRF#dataset
@ai_machinelearning_big_data
Github: https://github.com/facebookresearch/StyleNeRF
Video: http://jiataogu.me/style_nerf
Paper: https://arxiv.org/abs/2110.08985
Project: http://jiataogu.me/style_nerf/
Dataset: https://github.com/facebookresearch/StyleNeRF#dataset
@ai_machinelearning_big_data
👍15❤3🔥1
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💥 A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments
Github: https://github.com/url-kaist/quatro
Video: http://jiataogu.me/style_nerf
Paper: https://arxiv.org/abs/2203.06612v1
Dataset: https://paperswithcode.com/dataset/kitti
@ai_machinelearning_big_data
Github: https://github.com/url-kaist/quatro
Video: http://jiataogu.me/style_nerf
Paper: https://arxiv.org/abs/2203.06612v1
Dataset: https://paperswithcode.com/dataset/kitti
@ai_machinelearning_big_data
🔥9👍2
🦾 Test Suites for Validating ML Models & Data
Github: https://github.com/deepchecks/deepchecks
Example: https://docs.deepchecks.com/en/stable/examples/guides/quickstart_in_5_minutes.html
Docs: https://docs.deepchecks.com/
Paper: https://arxiv.org/abs/2203.08491v1
Blog: https://deepchecks.com/blog/
@ai_machinelearning_big_data
Github: https://github.com/deepchecks/deepchecks
Example: https://docs.deepchecks.com/en/stable/examples/guides/quickstart_in_5_minutes.html
Docs: https://docs.deepchecks.com/
Paper: https://arxiv.org/abs/2203.08491v1
Blog: https://deepchecks.com/blog/
@ai_machinelearning_big_data
❤18👍8
🧷 HybridNets: End2End Perception Network
Github: https://github.com/datvuthanh/HybridNets
Paper: https://arxiv.org/abs/2203.09035v1
Dataset: https://paperswithcode.com/dataset/bdd100k
Tasks: https://paperswithcode.com/task/traffic-object-detection
@ai_machinelearning_big_data
Github: https://github.com/datvuthanh/HybridNets
Paper: https://arxiv.org/abs/2203.09035v1
Dataset: https://paperswithcode.com/dataset/bdd100k
Tasks: https://paperswithcode.com/task/traffic-object-detection
@ai_machinelearning_big_data
👍15
How to Generate Synthetic Tabular Dataset
https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html
@ai_machinelearning_big_data
https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html
@ai_machinelearning_big_data
👍10❤1
💬 A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution
Github: https://github.com/mjq11302010044/tatt
Paper: https://arxiv.org/abs/2203.09388v2
Dataset: https://deepchecks.com/blog/
@ai_machinelearning_big_data
Github: https://github.com/mjq11302010044/tatt
Paper: https://arxiv.org/abs/2203.09388v2
Dataset: https://deepchecks.com/blog/
@ai_machinelearning_big_data
❤9👍2🔥1
〰 Monotonic Differentiable Sorting Networks
Github: https://github.com/Felix-Petersen/diffsort
Colab: https://colab.research.google.com/drive/1q0TZFFYB9FlOJYWKt0_7ZaXQT190anhm?usp=sharing
Paper: https://arxiv.org/abs/2203.09630v1
Video: https://www.youtube.com/watch?v=Rl-sFaE1z4M
Dataset: https://paperswithcode.com/dataset/svhn
@ai_machinelearning_big_data
Github: https://github.com/Felix-Petersen/diffsort
Colab: https://colab.research.google.com/drive/1q0TZFFYB9FlOJYWKt0_7ZaXQT190anhm?usp=sharing
Paper: https://arxiv.org/abs/2203.09630v1
Video: https://www.youtube.com/watch?v=Rl-sFaE1z4M
Dataset: https://paperswithcode.com/dataset/svhn
@ai_machinelearning_big_data
👍7❤3😁1
⚡️ EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Article
@ai_machinelearning_big_data
Article
@ai_machinelearning_big_data
Дзен | Статьи
Машинное обучение
Пост автора «Машинное обучение» в Дзене ✍: ⚡️ EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation Github: https://github.
👍15🔥1
💭 NeuralSpeech is a research project in focusing on neural network based speech processing
Github: https://github.com/microsoft/NeuralSpeech
Paper: https://arxiv.org/pdf/2109.14420v3.pdf
Speech Research: https://speechresearch.github.io/
Dataset: https://paperswithcode.com/dataset/aishell-1
@ai_machinelearning_big_data
Github: https://github.com/microsoft/NeuralSpeech
Paper: https://arxiv.org/pdf/2109.14420v3.pdf
Speech Research: https://speechresearch.github.io/
Dataset: https://paperswithcode.com/dataset/aishell-1
@ai_machinelearning_big_data
👍8❤1🔥1
🔎 BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Github: https://github.com/amazon-research/bigdetection
Paper: https://arxiv.org/abs/2203.13249v1
Dataset: https://paperswithcode.com/dataset/lvis
@ai_machinelearning_big_data
Github: https://github.com/amazon-research/bigdetection
Paper: https://arxiv.org/abs/2203.13249v1
Dataset: https://paperswithcode.com/dataset/lvis
@ai_machinelearning_big_data
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