Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Last update: Dec 21, 2022

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Sparse Steerable Convolution (SS-Conv)

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space", NeurIPS 2021.

Created by Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, and Kui Jia.

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Research lab focusing on CV, ML, and AI

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Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.

SymEngine Python Wrappers Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library. Installation Pip See License section

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Heat transfer problemas solved using python

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Locally Differentially Private Distributed Deep Learning via Knowledge Distillation (LDP-DL)

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Small utility to demangle Nim symbols in callgrind files

nim_callgrind A small utility to demangle Nim symbols from callgrind files. Usage Run your (Nim) program with something like this: valgrind --tool=cal

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Raptor-Multi-Tool - Raptor Multi Tool With Python

Promises 🔥 20 Stars and I'll fix every error that there is 50 Stars and we will

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PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

PyTorch implementation of Convolutional Neural Fabrics arxiv:1606.02492 There are some minor differences: The raw image is first convolved, to obtain

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Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness

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StarGAN v2-Tensorflow - Simple Tensorflow implementation of StarGAN v2

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Alphabetical Letter Recognition

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Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

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Implementation of the algorithm shown in the article "Modelo de Predicción de Éxito de Canciones Basado en Descriptores de Audio"

Success Predictor Implementation of the algorithm shown in the article "Modelo de Predicción de Éxito de Canciones Basado en Descriptores de Audio". B

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Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Related tags

Overview

Sparse Steerable Convolution (SS-Conv)

Owner

Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library.

Heat transfer problemas solved using python

Locally Differentially Private Distributed Deep Learning via Knowledge Distillation (LDP-DL)

Small utility to demangle Nim symbols in callgrind files

Raptor-Multi-Tool - Raptor Multi Tool With Python

PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness

StarGAN v2-Tensorflow - Simple Tensorflow implementation of StarGAN v2

Alphabetical Letter Recognition

Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

LightLog is an open source deep learning based lightweight log analysis tool for log anomaly detection.

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

The UI as a mobile display for OP25

Simple and ready-to-use tutorials for TensorFlow

[Official] Exploring Temporal Coherence for More General Video Face Forgery Detection(ICCV 2021)

Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning

Exemplo de implementação do padrão circuit breaker em python

A package to predict protein inter-residue geometries from sequence data

Standalone pre-training recipe with JAX+Flax

Implementation of the algorithm shown in the article "Modelo de Predicción de Éxito de Canciones Basado en Descriptores de Audio"