Hand Segmentation
10 papers with code • 0 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Hand Segmentation
EgoHands
HandNet
EYTH
ObMan-Ego
Latest papers with no code
Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023
In this report, we present our approach to the EPIC-KITCHENS VISOR Hand Object Segmentation Challenge, which focuses on the estimation of the relation between the hands and the objects given a single frame as input.
Real-Time Hand Gesture Identification in Thermal Images
Hand gesture-based human-computer interaction is an important problem that is well explored using color camera data.
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation
The proposed composition-based data generation technique can create two-hand instances with quality, quantity and diversity that generalize well to unseen domains.
Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
We fine-tuned the Mask-RCNN network for the specific task of segmenting the hand of the humanoid robot Vizzy.
Hand-Priming in Object Localization for Assistive Egocentric Vision
Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition being one of the daily challenges for this population.
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
Ego hand gestures can be used as an interface in AR and VR environments.
Recurrent U-Net for Resource-Constrained Segmentation
State-of-the-art segmentation methods rely on very deep networks that are not always easy to train without very large training datasets and tend to be relatively slow to run on standard GPUs.
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input
We propose a real-time DNN-based technique to segment hand and object of interacting motions from depth inputs.
Random Forest with Learned Representations for Semantic Segmentation
In this work, we present a random forest framework that learns the weights, shapes, and sparsities of feature representations for real-time semantic segmentation.
Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems.
