Search Results for author:
Found 5 papers, 1 papers with code
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation
In this paper, we attempt to not only consider the appearance of a hand but incorporate the temporal movement information of a hand in motion into the learning framework for better 3D hand pose estimation performance, which leads to the necessity of a large scale dataset with sequential RGB hand images.
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
In this paper, we attempt to not only consider the appearance of a hand but incorporate the temporal movement information of a hand in motion into the learning framework for better 3D hand pose estimation performance, which leads to the necessity of a large scale dataset with sequential RGB hand images.
Consistency-based Semi-supervised Learning for Object detection
Making a precise annotation in a large dataset is crucial to the performance of object detection.
Ranked #18 on
Semi-Supervised Object Detection
on COCO 2% labeled data
Selective Self-Training for semi-supervised Learning
While the conventional methods cannot be applied to the new SSL problems where the separated data do not share the classes, our method does not show any performance degradation even if the classes of unlabeled data are different from those of the labeled data.
Motion Feature Network: Fixed Motion Filter for Action Recognition
However, it has an expensive computational cost and requires two-stream (RGB and optical flow) framework.
