Webb9 dec. 2024 · In simultaneous machine translation, the objective is to determine when to produce a partial translation given a continuous stream of source words, with a trade-off between latency and quality. We propose a neural machine translation (NMT) model that makes dynamic decisions when to continue feeding on input or generate output words.

Segmentation and Object Detection — Part 1 by Andreas Maier

WebbThe unified network is learned by jointly optimizing pedestrian detection and semantic segmentation tasks. The final detections are obtained by integrating the outputs from different modalities as well as the two stages. The approach significantly outperforms state-of-the-art methods on the KAIST dataset while remain fast. Webbframework for simultaneous road surface segmentation and centerline tracing. 2) The boosting strategy is introduced to enhance the road segmentation results by applying multiple segmentation networks, which learn from the failed cases of previ-ous segmentation incrementally to connect the broken segments in the initial masks. … north elephant seals

Simultaneous Object Detection and Segmentation by Boosting …

WebbHowever, instance segmentation has become more com-mon after the “Simultaneous Detection and Segmentation” (SDS)workofHariharanet al.[18]. Thissystemwasbased on the R-CNN pipeline [15]: Region proposals, generated by the method of [1], were classified into object categories with a Convolutional Neural Network (CNN) before apply- Webb14 sep. 2011 · Simultaneous detection and segmentation for generic objects Abstract: Numerous approaches to object detection and segmentation have been proposed so … WebbAnother approach for segmentation boundary detection is to use POS of the source text (Stolcke and Shriberg, 1996; Sridhar et al., 2013b; Nakabayashi et al., 2024). Stolcke and Shriberg (1996) tested two models for segmentation based on the POS of an input. The first model used POS tags labeled on every token and the second model used north eleuthera restaurants