July 2, 2021 Transformer

Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations

TransFill-Reference-Inpainting This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations (Yuqian Zhou, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi) at CVPR’21. According to some confidential reasons, we are not planning to release the training/testing codes and models. Online-demo will be public once we set up the server. However, we release the testing dataset for comparsion, and the scripts to prepare the training dataset. Introduction Image inpainting is the task of plausibly restoring missing […]

July 2, 2021 Machine Learning

A Two-stage Identifier for Nested Named Entity Recognition

locate-and-label Code for Two-stage Identifier: “Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition”, accepted at ACL 2021. Setup Requirements conda create –name acl python=3.8 conda activate acl pip install -r requirements.txt Datasets The datasets used in our experiments: Data format: { “tokens”: [“2004-12-20T15:37:00”, “Microscopic”, “microcap”, “Everlast”, “,”, “mainly”, “a”, “maker”, “of”, “boxing”, “equipment”, “,”, “has”, “soared”, “over”, “the”, “last”, “several”, “days”, “thanks”, “to”, “a”, “licensing”, “deal”, “with”, “Jacques”, “Moret”, “allowing”, “Moret”, “to”, “buy”, “out”, “their”, “women”, “‘s”, […]

July 2, 2021 Network

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

MTTS-CAN Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement. Paper Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff, “Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement”, NeurIPS 2020, Oral Presentation (105 out of 9454 submissions)Link: https://papers.nips.cc/paper/2020/file/e1228be46de6a0234ac22ded31417bc7-Paper.pdf Abstract Telehealth and remote health monitoring have become increasingly important during the SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on healthcare practices. These tools can help reduce the risk of exposing patients and […]

July 2, 2021 Machine Learning

A Performance Baseline for Deep Feature Matching

DFM Python (Pytorch) and Matlab (MatConvNet) implementations of our paper DFM: A Performance Baseline for Deep Feature Matching at CVPR 2021 Image Matching Workshop. Setup Environment We strongly recommend using Anaconda. Open a terminal in ./python folder, and simply run the following lines to create the environment: conda env create -f environment.yml conda activte dfm DependenciesIf you do not use conda, DFM needs the following dependencies:(Versions are not strict; however, we have tried DFM with these specific versions.) python=3.7.1 pytorch=1.7.1 […]

July 2, 2021 Deep Learning

Contrastive Learning for Color Constancy accepted at CVPR 2021

CLCC CLCC: Contrastive Learning for Color Constancy (CVPR 2021)Yi-Chen Lo*, Chia-Che Chang*, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou MediaTek Inc., Hsinchu, Taiwan (*) indicates equal contribution. We preprocess each fold of dataset and stored in .pkl format for each sample. Each sample contains: Raw image: Mask color checker; Subtract black level; Convert to uint16 [0, 65535] BGR numpy array with shape (H, W, 3). RGB label: L2-normalized numpy vector with shape (3,). Color checker: [0, 4095] […]

July 1, 2021 NLP

Dynabench: Rethinking Benchmarking in NLP

June 10, 2021 By: Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams Abstract We introduce Dynabench, an open-source platform for dynamic dataset creation and model benchmarking. Dynabench runs in a web browser and supports human-and-model-in-the-loop dataset creation: annotators seek to create examples that a target model will misclassify, but that […]

July 1, 2021 Maps

Streamlit Component for rendering kepler.gl maps

streamlit-keplergl Streamlit Component for rendering kepler.gl maps in a streamlit app. Installation pip install streamlit-keplergl How to use it import streamlit as st from streamlit_keplergl import keplergl_static from keplergl import KeplerGl st.write(“This is a kepler.gl map in streamlit”) map_1 = KeplerGl(height=400) keplergl_static(map_1) Options fig: keplergl.KeplerGl map figure. height: Height of result. If height is set on the keplergl.KeplerGl object, that value supersedes the values set with the keyword arguments of this function. width: Width of result. GitHub https://github.com/chrieke/streamlit-keplergl

July 1, 2021 Bot

CoWIN Vaccination slot booking telegram bot with auto captcha resolver & alerting feature

COWIN VACCINATION SLOT AUTO BOOKING (Bot with captcha solving & alerting capabilities. Never miss the vaccine slot.) HOW IT WORKS Your computer will act as a server to update messages & recieve messages from telegram bot. This automation script, gathers the recieved messages from the user & checks the details on COWIN portal. Your phone (Telegram app) will act as a client to recieve messages sent from the computer. If your computer stops or your script stops on computer, you […]

July 1, 2021 Cryptocurrency

Reference python implementation of Chia pool operations for pool operators

Pool Reference V1 Reference python implementation of Chia pool operations for pool operators Summary This repository provides a sample server written in python, which is meant to server as a basis for a Chia Pool. While this is a fully functional implementation, it requires some work in scalability and security to run in production. An FAQ is provided here: https://github.com/Chia-Network/chia-blockchain/wiki/Pooling-FAQ Customizing Several things are customizable in this pool reference. This includes: How long the timeout is for leaving the pool […]

July 1, 2021 Language Models

Knowledge Inheritance for Pre-trained Language Models

Knowledge-Inheritance Source code paper: Knowledge Inheritance for Pre-trained Language Models (preprint). The trained model parameters (in Fairseq format) can be downloaded from Tsinghua Cloud. You can use convert_fairseq_to_huggingface.py to convert the Fairseq format into Huggingface’s transformers format easily. We refer the downstream performance evaluation to the implementation of Fairseq (GLUE tasks) and Don’t Stop Pre-training (ACL-ARC / CHEMPROT). If you have any question, feel free to contact us ([email protected]). 1. Available Pretrained Models WB domain: Wikipedia + BookCorpus; CS domain: […]

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