Search Results for author:
Found 2 papers, 0 papers with code
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization
Content mismatch usually occurs when data from one modality is translated to another, e. g. language learners producing mispronunciations (errors in speech) when reading a sentence (target text) aloud.
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Few-shot object detection, learning to adapt to the novel classes with a few labeled data, is an imperative and long-lasting problem due to the inherent long-tail distribution of real-world data and the urgent demands to cut costs of data collection and annotation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
