Hand Segmentation

9 papers with code • 0 benchmarks • 4 datasets

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Most implemented papers

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

Plrbear/HGR-Net 14 Jun 2018

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 Segmentation for Hand-Object Interaction from Depth map

byeongkeun-kang/HOI-dataset 8 Mar 2016

Thus, we propose hand segmentation method for hand-object interaction using only a depth map.

Depth Adaptive Deep Neural Network for Semantic Segmentation

byeongkeun-kang/HOI-dataset 5 Aug 2017

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.

Analysis of Hand Segmentation in the Wild

aurooj/Hand-Segmentation-in-the-Wild CVPR 2018

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.

Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition

swathikirans/ego-rnn 31 Jul 2018

Our model is built on the observation that egocentric activities are highly characterized by the objects and their locations in the video.

Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation

cai-mj/UMA CVPR 2020

To this end, we propose a Bayesian CNN-based model adaptation framework for hand segmentation, which introduces and considers two key factors: 1) prediction uncertainty when the model is applied in a new domain and 2) common information about hand shapes shared across domains.

Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection

AlextheEngineer/Ego2Hands 14 Nov 2020

Hand segmentation and detection in truly unconstrained RGB-based settings is important for many applications.

Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation

ut-vision/FgSty-CPL 6 Jul 2021

We validated our method on domain adaptation of hand segmentation from real and simulation images.

VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout

istiakshihab/automated-retail-checkout-aicity22 23 Apr 2022

Multi-class product counting and recognition identifies product items from images or videos for automated retail checkout.