Locally Adaptive Translation for Knowledge Graph Embedding

no code implementations • 4 Dec 2015 • Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xue-Qi Cheng

Knowledge graph embedding aims to represent entities and relations in a large-scale knowledge graph as elements in a continuous vector space.

Knowledge Graph Embedding Knowledge Graphs +1

Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning

no code implementations • 14 Aug 2023 • Xugong Qin, Pengyuan Lyu, Chengquan Zhang, Yu Zhou, Kun Yao, Peng Zhang, Hailun Lin, Weiping Wang

Different from existing methods which integrate multiple-granularity features or multiple outputs, we resort to the perspective of representation learning in which auxiliary tasks are utilized to enable the encoder to jointly learn robust features with the main task of per-pixel classification during optimization.

Representation Learning Scene Text Detection +1