23 citations · 43 across the 5 of their papers we have counts for
5 papers
MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation
Jing Xu, Wentao Shi, Pan Gao +2
In recent works on semantic segmentation, there has been a significant focus on designing and integrating transformer-based encoders. However, less attention has been given to tran…
Unifying Training and Inference for Panoptic Segmentation
Qizhu Li, Xiaojuan Qi, Philip H. S. Torr
We present an end-to-end network to bridge the gap between training and inference pipeline for panoptic segmentation, a task that seeks to partition an image into semantic regions…
Adversarial Metric Attack and Defense for Person Re-identification
Song Bai, Yingwei Li, Yuyin Zhou +2
Person re-identification (re-ID) has attracted much attention recently due to its great importance in video surveillance. In general, distance metrics used to identify two person i…
Weakly- and Semi-Supervised Panoptic Segmentation
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…
Holistic, Instance-Level Human Parsing
Qizhu Li, Anurag Arnab, Philip H. S. Torr
Object parsing -- the task of decomposing an object into its semantic parts -- has traditionally been formulated as a category-level segmentation problem. Consequently, when there…