Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
-
Updated
Nov 24, 2020 - Python
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Code and information for face image quality assessment with SER-FIQ
Open-Source Machine Translation Quality Estimation in PyTorch
Transformer based translation quality estimation
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
Framework for neural-based Quality Estimation
机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning
Code and data for the paper "Disentangling Uncertainty in Machine Translation Evaluation", accepted at EMNLP 2022.
Repository for "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
Evaluation scripts for the 2019 machine translation quality estimation shared task
The official code for the "System Combination via Quality Estimation for Grammatical Error Correction" paper, published in EMNLP 2023.
System for translation quality estimation, mostly outbound translation
机器翻译子任务-翻译质量评价-使用 BERT 特征训练 QE 模型
MBART Quality Estimator proposed in IST-Unbabel 2021 Submission for the Quality Estimation Shared Task
IST-Unbabel 2021 Submission for the Quality Estimation Shared Task
This contains RNN based word level quality estimation, and Part-of-Speech-Tagger
Adversarial Evaluation of Quality Estimation systems
Large and Distilled Models for Quality Estimation of Machine Translation
Add a description, image, and links to the quality-estimation topic page so that developers can more easily learn about it.
To associate your repository with the quality-estimation topic, visit your repo's landing page and select "manage topics."