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🧩 Building LEGO for 3D Reconstruction on Mobile Devices

A novel data capturing and 3D annotation pipeline in MobileBrick without relying on expensive 3D scanners.

🖥 Github: https://github.com/ActiveVisionLab/MobileBrick

⏩ Paper: https://arxiv.org/abs/2303.01932

⭐️ Dataset: http://www.robots.ox.ac.uk/~victor/data/MobileBrick/MobileBrick_Mar23.zip

💨 Project: https://code.active.vision/MobileBrick/

https://t.me/DataScienceT

⭐️ SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries, CVPR 2023

Exact method for computing partitions of a Deep Neural Network

🖥 Github: http://github.com/AhmedImtiazPrio/SplineCAM

🖥 Colab: https://bit.ly/splinecam-demo

⏩ Paper: http://arxiv.org/pdf/2302.12828.pdf

⭐️ Project: http://imtiazhumayun.github.io/splinecam

https://t.me/DataScienceT

Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR 2023)

🖥 Github: https://github.com/csmile-1006/preferencetransformer

⏩ Paper: https://arxiv.org/abs/2303.00957v1

https://t.me/DataScienceT

Handwritten Digit Recognition with LeNet5 Model in PyTorch

by Adrian Tam on March 8, 2023 in Deep Learning with PyTorch

🔗: https://machinelearningmastery.com/handwritten-digit-recognition-with-lenet5-model-in-pytorch

https://t.me/DataScienceT

💬 GLIGEN: Open-Set Grounded Text-to-Image Generation

GLIGEN’s zero-shot performance on COCO and LVIS outperforms that of existing supervised layout-to-image baselines by a large margin. Code comming soon.

⭐️ Project: https://gligen.github.io/

⭐️ Demo: https://aka.ms/gligen

✅️ Paper: https://arxiv.org/abs/2301.07093

🖥 Github: https://github.com/gligen/GLIGEN

https://t.me/DataScienceT