27 citations · 60 across the 8 of their papers we have counts for
7 papers · 1 filter
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
Mu Chen, Zhedong Zheng, Yi Yang +1
Unsupervised Domain Adaptation (UDA) aims to enhance the generalization of the learned model to other domains. The domain-invariant knowledge is transferred from the model trained…
Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization
Tingyu Wang, Zhedong Zheng, Zunjie Zhu +3
Cross-view geo-localization aims to spot images of the same location shot from two platforms, e.g., the drone platform and the satellite platform. Existing methods usually focus on…
Feature-Proxy Transformer for Few-Shot Segmentation
Jian-Wei Zhang, Yifan Sun, Yi Yang +1
Few-shot segmentation (FSS) aims at performing semantic segmentation on novel classes given a few annotated support samples. With a rethink of recent advances, we find that the cur…
Deep Hierarchical Semantic Segmentation
Liulei Li, Tianfei Zhou, Wenguan Wang +2
Humans are able to recognize structured relations in observation, allowing us to decompose complex scenes into simpler parts and abstract the visual world in multiple levels. Howev…
Automated Progressive Learning for Efficient Training of Vision Transformers
Changlin Li, Bohan Zhuang, Guangrun Wang +3
Recent advances in vision Transformers (ViTs) have come with a voracious appetite for computing power, high-lighting the urgent need to develop efficient training methods for ViTs.…
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains
Yongxing Dai, Yifan Sun, Jun Liu +3
Cross-domain person re-identification (re-ID), such as unsupervised domain adaptive (UDA) re-ID, aims to transfer the identity-discriminative knowledge from the source to the targe…