August 13, 2021 Images

Mutual-Channel Loss for Fine-Grained Image Classification

Mutual-Channel-Loss Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)DOI Changelog 2020/09/14 update the code: CUB-200-2011_ResNet18.py Training with ResNet18 (TRAINED FROM SCRATCH). 2020/04/19 add the hyper-parameter fine-tune results. 2020/04/18 clean the code for better understanding. Dataset CUB-200-2011 Requirements python 3.6 PyTorch 1.2.0 torchvision Training Download datasets Train: python CUB-200-2011.py, the alpha and beta are the hyper-parameters of the MC-Loss Description : PyTorch CUB-200-2011 Training with VGG16 (TRAINED FROM SCRATCH). Hyper-parameter Loss = […]

August 13, 2021 Models

A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling

SlotRefine A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling Reference Main paper to be cited (Di Wu et al., 2020) @article{wu2020slotrefine, title={Slotrefine: A fast non-autoregressive model for joint intent detection and slot filling}, author={Wu, Di and Ding, Liang and Lu, Fan and Xie, Jian}, booktitle={EMNLP}, year={2020} } Requirements Our system is build upon the THUMT codebase. tensorflow 1.12python 3.6 Usage sh train.atis.sh GitHub https://github.com/moore3930/SlotRefine

August 13, 2021 Neural Network

Feature Learning in Infinite-Width Neural Networks

Empirical Experiments in “Feature Learning in Infinite-width Neural Networks” This repo contains code to replicate our experiments (Word2Vec, MAML) in our paper Feature Learning in Infinite-Width Neural NetworksGreg Yang, Edward Hu In short, the code here will allow you to train feature learning infinite-width neural networks on Word2Vec and on Omniglot (via MAML). Our results on Word2Vec: Our Results on MAML: Please see the README in individual folders for more details. This is the 4th paper in the Tensor Programs […]

August 13, 2021 Automation

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

ACSC Automatic extrinsic calibration for non-repetitive scanning solid-state LiDAR and camera systems. System Architecture 1. Dependency Tested with Ubuntu 16.04 64-bit and Ubuntu 18.04 64-bit. ROS (tested with kinetic / melodic) Eigen 3.2.5 PCL 1.8 python 2.X / 3.X python-pcl opencv-python (>= 4.0) scipy scikit-learn transforms3d pyyaml mayavi (optional, for debug and visualization only) 2. Preparation 2.1 Download and installation Use the following commands to download this repo. Notice: the SUBMODULE should also be cloned. git clone –recurse-submodules https://github.com/HViktorTsoi/ACSC Compile […]

August 13, 2021 Domain

Domain Consensus Clustering for Universal Domain Adaptation

August 13, 2021 Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 87: Notes from ACL 2021

The story of the science fiction novel Roadside Picnic by Arkady and Boris Strugatsky (mostly known via Tarkovsky’s 1979 film Stalker) takes place after an extraterrestrial event called the Visitation. Some aliens stopped by, made a roadside picnic, and left behind plenty of weird and dangerous objects having features that contemporary science cannot explain. Although the UN tries to prevent people from entering the visitation zones before everything gets fully explored and explained, objects from the zone are traded on […]

August 13, 2021 Advanced, CHATBOT, Data Science, NLP, Programming, Project, Python, Unstructured Data

Build an end-end Currency Convertor chatbot with Python and Dialogflow

This article was published as a part of the Data Science Blogathon Introduction Hello all, Hope you are fine. In this tutorial we will learn how to create chatbots using Dialogflow and python, as well we will learn the deployment of chatbots to telegram. In our previous articles, we have learned to create a simple rule-based chatbot using simple python and NLTK libraries. I would like to request you to have a look at the article creating a simple chatbot […]

August 12, 2021 NLP

VoxPopuli- A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

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August 12, 2021 Transformer

Sign Language Transformers (CVPR’20)

Sign Language Transformers (CVPR’20) This repo contains the training and evaluation code for the paper Sign Language Transformers: Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation. This code is based on Joey NMT but modified to realize joint continuous sign language recognition and translation. For text-to-text translation experiments, you can use the original Joey NMT framework. Requirements Download the feature files using the data/download.sh script. [Optional] Create a conda or python virtual environment. Install required packages using the […]

August 12, 2021 Self-Supervised

Self-Supervised Learning with Vision Transformers

Self-Supervised Learning with Vision Transformers By Zhenda Xie*, Yutong Lin*, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao and Han Hu This repo is the official implementation of “Self-Supervised Learning with Swin Transformers”. A important feature of this codebase is to include Swin Transformer as one of the backbones, such that we can evaluate the transferring performance of the learnt representations on down-stream tasks of object detection and semantic segmentation. This evaluation is usually not included in previous works due […]

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