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Found 7 papers, 0 papers with code
An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images
The proposed model consists of four steps as follows: (a) first, the region of interest (ROI) is segmented using segmentation based approaches to extract the ROI from the original images; (b) second, these refined images are passed to a CNN architecture based on the backbone of EfficientNets for feature extraction; (c) third, dense refinement blocks, adapted from the architecture of densely connected networks are added to learn more diversified features; and (d) fourth, global average pooling and fully connected layers are applied for the classification of the multi-level hierarchy of the yoga poses.
A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System
In the second stream, data obtained from inertial sensors are pre-processed and inputted to regularized LSTMs for the feature extraction followed by fully connected layers for the classification.
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition
To address such complexities, in this paper, we propose a novel Sparse Weighted Temporal Attention (SWTA) module to utilize sparsely sampled video frames for obtaining global weighted temporal attention.
Detecting Anomalies using Generative Adversarial Networks on Images
Most of the available data in the anomaly detection task is imbalanced as the number of positive/anomalous instances is sparse.
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition
To address such complexities, in this paper, we propose a novel Sparse Weighted Temporal Fusion (SWTF) module to utilize sparsely sampled video frames for obtaining global weighted temporal fusion outcome.
DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices
Proposed custom loss function was able to achieve perfect classification for the tiny RoI of $75\times 75$ size.
SP-NET: One Shot Fingerprint Singular-Point Detector
Singular points of a fingerprint image are special locations having high curvature properties.
