Dados coletados e programas desenvolvidos no processo de iniciação científica

Last update: Jan 10, 2022

Overview

Iniciacao_cientifica_FAPESP_2020-14845-6

Dados coletados e programas desenvolvidos no processo de iniciação científica Os arquivos .py são os programas utilizados no processamento Para você poder rodar os programas e eles funcionarem você deve ter pastas com nomes específicos. Os nomes das pastas podem ser identificados analisando os códigos disponibilizados. A pasta workingprepos possui os arquivos de coordenadas 3D já todo processado que foram os utilizados para gerar os resultados apresentados no projeto A pasta working3d são os dados reconstruidos com 144 saltos, ou seja, já tiveram 10 saltos excluidos mas ainda seriam excluidos mais 20 Já a pasta arquivoscalib possui os dados utilizados para as 6 calibrações utilizadas na coleta

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GitHub Repository

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

Back to the Feature with PixLoc We introduce PixLoc, a neural network for end-to-end learning of camera localization from an image and a 3D model via

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Provably Rare Gem Miner.

Provably Rare Gem Miner just another random project by yoyoismee.eth useful link main site market contract useful thing you should know read contract

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Code & Data for the Paper "Time Masking for Temporal Language Models", WSDM 2022

Time Masking for Temporal Language Models This repository provides a reference implementation of the paper: Time Masking for Temporal Language Models

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LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,

LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and eval

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Generating Band-Limited Adversarial Surfaces Using Neural Networks

Generating Band-Limited Adversarial Surfaces Using Neural Networks This is the official repository of the technical report that was published on arXiv

3 Jul 26, 2022

Text Extraction Formulation + Feedback Loop for state-of-the-art WSD (EMNLP 2021)

ConSeC is a novel approach to Word Sense Disambiguation (WSD), accepted at EMNLP 2021. It frames WSD as a text extraction task and features a feedback loop strategy that allows the disambiguation of

36 Dec 13, 2022

Out-of-distribution detection using the pNML regret. NeurIPS2021

OOD Detection Load conda environment conda env create -f environment.yml or install requirements: while read requirement; do conda install --yes $requ

23 Dec 02, 2022

A modular, research-friendly framework for high-performance and inference of sequence models at many scales

T5X T5X is a modular, composable, research-friendly framework for high-performance, configurable, self-service training, evaluation, and inference of

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Denoising images with Fourier Ring Correlation loss

Denoising images with Fourier Ring Correlation loss The python code accompanies the working manuscript Image quality measurements and denoising using

2 Mar 12, 2022

Code for "AutoMTL: A Programming Framework for Automated Multi-Task Learning"

AutoMTL: A Programming Framework for Automated Multi-Task Learning This is the website for our paper "AutoMTL: A Programming Framework for Automated M

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Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F

16 Jun 30, 2022

Dados coletados e programas desenvolvidos no processo de iniciação científica

Related tags

Overview

Iniciacao_cientifica_FAPESP_2020-14845-6

Owner

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

Provably Rare Gem Miner.

Code & Data for the Paper "Time Masking for Temporal Language Models", WSDM 2022

LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,

Generating Band-Limited Adversarial Surfaces Using Neural Networks

Text Extraction Formulation + Feedback Loop for state-of-the-art WSD (EMNLP 2021)

Out-of-distribution detection using the pNML regret. NeurIPS2021

A modular, research-friendly framework for high-performance and inference of sequence models at many scales

Denoising images with Fourier Ring Correlation loss

Code for "AutoMTL: A Programming Framework for Automated Multi-Task Learning"

Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution

Reproduced Code for Image Forgery Detection papers.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

YOLOX-RMPOLY

High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)

Official codebase for ICLR oral paper Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling

Genshin-assets - 👧 Public documentation & static assets for Genshin Impact data.

Transfer Learning Shootout for PyTorch's model zoo (torchvision)