1 code implementation • 25 Nov 2022 • Jing Xu, Wentao Shi, Pan Gao, Zhengwei Wang, Qizhu Li
On the more challenging ADE20K dataset, our best model yields a single-scale mIoU of 50. 18, and a multi-scale mIoU of 51. 8, which is on-par with the current state-of-art model, while we drastically cut the number of FLOPs by 53. 5%.
no code implementations • CVPR 2020 • Qizhu Li, Xiaojuan Qi, Philip H. S. Torr
This panoptic submodule gives rise to a novel propagation mechanism for panoptic logits and enables the network to output a coherent panoptic segmentation map for both "stuff" and "thing" classes, without any post-processing.
1 code implementation • 30 Jan 2019 • Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr
However, our work observes the extreme vulnerability of existing distance metrics to adversarial examples, generated by simply adding human-imperceptible perturbations to person images.
1 code implementation • ECCV 2018 • Qizhu Li, Anurag Arnab, Philip H. S. Torr
We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks.
Ranked #33 on Panoptic Segmentation on Cityscapes val
1 code implementation • 11 Sep 2017 • Qizhu Li, Anurag Arnab, Philip H. S. Torr
We address this problem by segmenting the parts of objects at an instance-level, such that each pixel in the image is assigned a part label, as well as the identity of the object it belongs to.
Ranked #2 on Multi-Human Parsing on PASCAL-Part