Picture for Leonardo Chang

Leonardo Chang

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

Add code
Nov 19, 2021
Figure 1 for TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Figure 2 for TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Figure 3 for TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Figure 4 for TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Viaarxiv icon

Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion

Add code
Nov 10, 2021
Figure 1 for Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Figure 2 for Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Figure 3 for Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Figure 4 for Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Viaarxiv icon

Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures

Add code
Mar 30, 2021
Figure 1 for Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Figure 2 for Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Figure 3 for Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Figure 4 for Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Viaarxiv icon

Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks

Add code
Aug 27, 2019
Figure 1 for Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Figure 2 for Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Figure 3 for Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Figure 4 for Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Viaarxiv icon