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Found 7 papers, 2 papers with code
Improving Signer Independent Sign Language Recognition for Low Resource Languages
We then evaluate the effect of transfer learning, with different levels of fine-tuning, on the generalisation of signer independent models, and show the effects of different input representations, namely variations in image data and pose estimation.
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers
A child who is unfamiliar with the correct spelling of a word often employs a “sound it out” approach: breaking the word down into its constituent sounds and then choosing letters to represent the identified sounds.
What's left can't be right -- The remaining positional incompetence of contrastive vision-language models
Contrastive vision-language models like CLIP have been found to lack spatial understanding capabilities.
Towards the extraction of robust sign embeddings for low resource sign language recognition
However, due to a domain mismatch with their training sets and challenging poses in sign language, they lack robustness on sign language data and image-based models often still outperform keypoint-based models.
MILP for the Multi-objective VM Reassignment Problem
Machine Reassignment is a challenging problem for constraint programming (CP) and mixed-integer linear programming (MILP) approaches, especially given the size of data centres.
Learning Software Configuration Spaces: A Systematic Literature Review
The findings from this systematic review show that the potential application objective is important; there are a vast number of case studies reported in the literature from the basis of several domains and software systems.
Assessing and Improving the Mutation Testing Practice of PIT
We therefore examine how effective are the mutants of a popular mutation testing tool, named PIT, compared to comprehensive ones, as drawn from the literature and personal experience.
Software Engineering
