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Found 6 papers, 5 papers with code
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
Beyond FER, pain estimation methods assess levels of intensity in pain expressions, however assessing the quality of all facial expressions is of critical value in health-related applications.
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment
The limited availability of labelled data in Action Quality Assessment (AQA), has forced previous works to fine-tune their models pretrained on large-scale domain-general datasets.
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Our experimental results show superior results to the state of the art on both UCF101 and HMDB51 datasets when pretraining on K100 in apple-to-apple comparisons.
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment
We evaluate our proposed method on a dataset of 25 PD patients, obtaining 72. 3% and 77. 1% top-1 accuracy on hand movement and gait tasks respectively.
Multi-Level Contextual Network for Biomedical Image Segmentation
Accurate and reliable image segmentation is an essential part of biomedical image analysis.
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture.
Ranked #1 on
Hand Gesture Segmentation
on OUHANDS
