跳到主要內容區

賀!資工系楊炫恭、鄭安傑、賀冠瑋、傅子睿等四位同學榮獲ECCV 2018 Workshop and Challenge: Person In Context(PIC)2nd Place Award!!!!

競賽介紹:http://www.picdataset.com/

INTRODUCTION

        The 1st Person in Context (PIC) Workshop and Challenge will be held in conjunction with ECCV on the afternoon of September 9th 2018, in Munich Germany. Recent years witness the great progress of the perception task such as image classification, object detection and pixel-wise semantic/instance segmentation. It is the right time to go one step further to infer the relations between the objects. Increasingly more efforts are devoted to relation prediction, such as the Visual Genome and Google Open Image challenge. There are mainly two differences between existing relation prediction works and PIC challenge. Firstly, instead of inferring all the relations between any two objects, PIC focuses on estimating human-centric relations, including human-object relation and human-human relations. Each relation is represented by a triple in the form of <Subject, Relation, Object>, such as <Human A, hold, Bottle A> and <Human A, hug, Human B>. In other words, under the definition of PIC, ‘Subject’ in the triple should be human. Secondly, PIC targets at the relation segmentation. More precisely, traditional relation prediction only estimates the bounding box of ‘Subject’ and ‘Object’ while PIC needs estimate their masks (shapes).

 

瀏覽數:
登入成功