8 citations · 27 across the 5 of their papers we have counts for
5 papers
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +4
In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted i…
Box-supervised Instance Segmentation with Level Set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +3
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently att…
SP-ViT: Learning 2D Spatial Priors for Vision Transformers
Yuxuan Zhou, Wangmeng Xiang, Chao Li +5
Recently, transformers have shown great potential in image classification and established state-of-the-art results on the ImageNet benchmark. However, compared to CNNs, transformer…
Dense Learning based Semi-Supervised Object Detection
Binghui Chen, Pengyu Li, Xiang Chen +3
Semi-supervised object detection (SSOD) aims to facilitate the training and deployment of object detectors with the help of a large amount of unlabeled data. Though various self-tr…
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition
Tao Yang, Peiran Ren, Xuansong Xie +2
Video frame interpolation (VFI) aims to improve the temporal resolution of a video sequence. Most of the existing deep learning based VFI methods adopt off-the-shelf optical flow a…