25 citations · 28 across the 3 of their papers we have counts for
5 papers · 1 filter
BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation
Liyang Liu, Zihan Wang, Minh Hieu Phan +3
Current knowledge distillation approaches in semantic segmentation tend to adopt a holistic approach that treats all spatial locations equally. However, for dense prediction, stude…
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Liyang Liu, Minh Hieu Phan +3
This paper investigates the capability of plain Vision Transformers (ViTs) for semantic segmentation using the encoder-decoder framework and introduces \textbf{SegViTv2}. In this s…
Group R-CNN for Weakly Semi-supervised Object Detection with Points
Shilong Zhang, Zhuoran Yu, Liyang Liu +3
We study the problem of weakly semi-supervised object detection with points (WSSOD-P), where the training data is combined by a small set of fully annotated images with bounding bo…
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
Yi Li, Zhanghui Kuang, Liyang Liu +2
Most weakly supervised semantic segmentation (WSSS) methods follow the pipeline that generates pseudo-masks initially and trains the segmentation model with the pseudo-masks in ful…
Group Fisher Pruning for Practical Network Compression
Liyang Liu, Shilong Zhang, Zhanghui Kuang +7
Network compression has been widely studied since it is able to reduce the memory and computation cost during inference. However, previous methods seldom deal with complicated stru…