9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 1 cited
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting
Xiaoshuang Chen, Yiru Zhao, Yu Qin +4
Crowd counting aims to learn the crowd density distributions and estimate the number of objects (e.g. persons) in images. The perspective effect, which significantly influences the…
cs.CV2021★ 9 cited
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Zilong Huang, Wentian Hao, Xinggang Wang +4
Despite their success for semantic segmentation, convolutional neural networks are ill-equipped for incremental learning, \ie, adapting the original segmentation model as new class…