Paper list

paper list

PIC 2019 Schedule


August 16th, 2019
August 16th, 2019
August 1st, 2018
July 2nd, 2018
July 1st, 2018
June 6th, 2018
June 1st, 2018
May 29th, 2018
The PIC2.0 datasets are released!
The PIC2.0 website is online!
The PIC1.0 leaderboard is released!
Baseline code[Github] released and forum opened
Testing set released and submission opened. (Note that the submission format is also updated)
The dataset annotations are updated for better results. Please re-download it in time.
The training and validation set are released(Google and Baidu drives).
The challenge website is online!

Person In Context

The 2nd Person in Context (PIC) Workshop and Challenge will be held in conjunction with ICCV2019, in Seoul, Korea. Recent years have witnessed 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 relations and human-human relations. Each relation is represented by a triplet 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 triplet 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 to estimate their masks (shapes).


This PIC Dataset is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree to our license terms.