The IOID dataset is the first dataset for the Instance of Interest Detection (IOID) task. The IOID dataset is built on the basis of MSCOCO2017, and divided into a training set and a test set, with 133 categories of Instance of Interest (IOI). Each IOI is represented by an object category and a corresponding segmentation region on the image. [details] [download]

NJU-DS400 dataset contains over 1000 stereo images collected from Internet, 3D movies and photographs taken by a Fuji W3 stereo camera with salient object masks labeled by four volunteers. [details] [download]

NJU-DS2000 dataset is extended on the basis of NJU-DS400, which includes 2000 stereo images collected from Internet, 3D movies and photographs taken by a Fuji W3 stereo camera. Four volunteers were invited to label the groundtruth salient object masks. [details] [download]

The ViROI dataset is the first dataset for Visual Relation of Interest Detection (VROID). The ViROI dataset is built on the basis of IOID and MSCOCO2017, and is divided into a training set (25,091 images with 91,496 VROIs) and a test set (5,029 images with 18,268 VROIs). [details] [download]

Video Relation Understanding (VRU) is a technical challenge hosted by ACM Multimedia, the premier international conference in multimedia. MAGUS.Gamma won first place in the Visual Relation Detection Task of VRU Challenge 2019, and the related paper "Video Visual Relation Detection via Multi-model Feature Fusion" was published in MM 2019 Grand Challenge. [paper] [code&features]