學(xué)術(shù)報(bào)告--Real-World Large-Scale Visual Recognition and Search
發(fā)布時(shí)間: 2015-11-12 11:14:20 瀏覽量:
報(bào)告題目: Real-World Large-Scale Visual Recognition and Search
報(bào)告專家:阿里巴巴研究員/資深總監(jiān) 華先勝
報(bào)告時(shí)間:2015年11月14日 周六 上午9:30- 11:30
報(bào)告地點(diǎn):文科樓模擬法庭B-204
報(bào)告內(nèi)容:Image recognition and search have been studied for decades and became very hot again in recently years mainly due to the rapid development of distributed computing, high-dimensional indexing, deep learning and big data analytical techniques. Many visual search and recognition research prototypes and preliminary products are available to the public. However, have we solved all the big technical and non-technical challenges? Has ImageNet solved the recognition problem? What are the key factors of realizing a real-world visual recognition/search system? Are semantic gaps still there, and do they really matter? What is the right business model for those technologies? Which direction that visual search/recognition is going towards? What are still missing? In this talk, we will discuss all these questions based on a real-world visual search and recognition engine that has a considerable number of users.