Hand Segmentation
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Greatest papers with code
Analysis of Hand Segmentation in the Wild
In the quest for robust hand segmentation methods, we evaluated the performance of the state of the art semantic segmentation methods, off the shelf and fine-tuned, on existing datasets.
ACTIVITY RECOGNITION HAND SEGMENTATION SEMANTIC SEGMENTATION TEMPORAL ACTION LOCALIZATION
Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition
Our model is built on the observation that egocentric activities are highly characterized by the objects and their locations in the video.
HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition
• Plrbear/HGR-Net
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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.
HAND GESTURE RECOGNITION HAND-GESTURE RECOGNITION HAND SEGMENTATION SEMANTIC SEGMENTATION
Depth Adaptive Deep Neural Network for Semantic Segmentation
To overcome this challenge, we develop a neural network which is able to adapt the receptive field not only for each layer but also for each neuron at the spatial location.
Hand Segmentation for Hand-Object Interaction from Depth map
Thus, we propose hand segmentation method for hand-object interaction using only a depth map.
Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
• nhduong/multitask_segnet_hand_segmentation_fingertip_detection
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Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems.
HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images
We propose an automatic method for generating high-quality annotations for depth-based hand segmentation, and introduce a large-scale hand segmentation dataset.