29 citations · 130 across the 26 of their papers we have counts for
7 papers · 1 filter
Reliable Propagation-Correction Modulation for Video Object Segmentation
Xiaohao Xu, Jinglu Wang, Xiao Li +1
Error propagation is a general but crucial problem in online semi-supervised video object segmentation. We aim to suppress error propagation through a correction mechanism with hig…
Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation
Xiang Li, Jinglu Wang, Xiao Li +1
Recently, transformer-based image segmentation methods have achieved notable success against previous solutions. While for video domains, how to effectively model temporal context…
Video Instance Segmentation by Instance Flow Assembly
Xiang Li, Jinglu Wang, Xiao Li +1
Instance segmentation is a challenging task aiming at classifying and segmenting all object instances of specific classes. While two-stage box-based methods achieve top performance…
Self-Supervised Video Representation Learning with Meta-Contrastive Network
Yuanze Lin, Xun Guo, Yan Lu
Self-supervised learning has been successfully applied to pre-train video representations, which aims at efficient adaptation from pre-training domain to downstream tasks. Existing…
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Yan Lu, Xinzhu Ma, Lei Yang +5
Geometry Projection is a powerful depth estimation method in monocular 3D object detection. It estimates depth dependent on heights, which introduces mathematical priors into the d…
SSAN: Separable Self-Attention Network for Video Representation Learning
Xudong Guo, Xun Guo, Yan Lu
Self-attention has been successfully applied to video representation learning due to the effectiveness of modeling long range dependencies. Existing approaches build the dependenci…