English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Autonomous driving (AD) perception today relies heavily on deep learningbased architectures requiring large scale annotated datasets with theirassociated costs for curation and annotation. The 3D semantic data are usefulfor core perception tasks such as obstacle detection and ego-vehiclelocalization. We propose a new dataset, Navya 3D Segmentation (Navya3DSeg),with a diverse label space corresponding to a large scale production gradeoperational domain, including rural, urban, industrial sites and universitiesfrom 13 countries. It contains 23 labeled sequences and 25 supplementarysequences without labels, designed to explore self-supervised andsemi-supervised semantic segmentation benchmarks on point clouds. We alsopropose a novel method for sequential dataset split generation based oniterative multi-label stratification, and demonstrated to achieve a +1.2% mIoUimprovement over the original split proposed by SemanticKITTI dataset. Acomplete benchmark for semantic segmentation task was performed, with state ofthe art methods. Finally, we demonstrate an Active Learning (AL) based datasetdistillation framework. We introduce a novel heuristic-free sampling methodcalled ego-pose distance based sampling in the context of AL. A detailedpresentation on the dataset is available herehttps://www.youtube.com/watch?v=5m6ALIs-s20.

Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles