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Found 8 papers, 1 papers with code
Teacher-Student Learning on Complexity in Intelligent Routing
Customer service is often the most time-consuming aspect for e-commerce websites, with each contact typically taking 10-15 minutes.
Contact Complexity in Customer Service
To tackle this, a machine learning model that accurately predicts the complexity of customer issues is highly desirable.
Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface
Our paper proposes a direct sparse visual odometry method that combines event and RGB-D data to estimate the pose of agile-legged robots during dynamic locomotion and acrobatic behaviors.
A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction
The existing Optical Character Recognition (OCR) systems are capable of recognizing images with horizontal texts.
Optical Character Recognition
Optical Character Recognition (OCR)
Visual Transformer for Object Detection
Transformers, or Self-attention networks to be more specific, on the other hand, have emerged as a recent advance to capture long range interactions of the input, but they have mostly been applied to sequence modeling tasks such as Neural Machine Translation, Image captioning and other Natural Language Processing tasks.
Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture
TextVQA is a VQA dataset geared towards this problem, where the questions require answering systems to read and reason about visual objects and text objects in images.
Training and Inference Methods for High-Coverage Neural Machine Translation
In this paper, we introduce a system built for the Duolingo Simultaneous Translation And Paraphrase for Language Education (STAPLE) shared task at the 4th Workshop on Neural Generation and Translation (WNGT 2020).
Image Captioning through Image Transformer
Inspired by the successes in text analysis and translation, previous work have proposed the \textit{transformer} architecture for image captioning.
