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

We present a retrieval based system for landmark retrieval and recognitionchallenge.There are five parts in retrieval competition system, includingfeature extraction and matching to get candidates queue; database augmentationand query extension searching; reranking from recognition results and localfeature matching. In recognition challenge including: landmark and non-landmarkrecognition, multiple recognition results voting and reranking usingcombination of recognition and retrieval results. All of models trained andpredicted by PaddlePaddle framework. Using our method, we achieved 2nd place inthe Google Landmark Recognition 2019 and 2nd place in the Google LandmarkRetrieval 2019 on kaggle. The source code is available at here.

2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019