Reproducibility Companion Paper: Human Object Interaction Detection via Multi-level Conditioned Network
Yunqing He, Xu Sun, Hui Jiang, Tongwei Ren, Gangshan Wu, Maria Sinziiana Astefanoaei, Andreas Leibetseder · 2022
To support the replication of ?Human Object Interaction Detection via Multi-level Conditioned Network", which was presented at ICMR'20, this companion paper provides the details of the artifacts. Human Object Interaction Detection (HOID) aims to recognize fine-grained object-specific human actions, which demands the capabilities of both visual perception and reasoning. In this paper, we explain the file structure of the source code and publish the details of our experiments settings. We also provide a program for component analysis to assist other researchers with experiments on alternative models that are not included in our experiments. Moreover, we provide a demo program for facilitating the use of our model.