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Found 8 papers, 3 papers with code
Controlling Character Motions without Observable Driving Source
A high-level prior model can be easily injected on top to generate unlimited long and diverse sequences.
Weakly Supervised Detection of Baby Cry
In this work, we propose to use weakly supervised anomaly detection to detect a baby cry.
Supervised Anomaly Detection
Weakly-supervised Anomaly Detection
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
In this paper, we study explicitly the power of video classification supervision using a BERT or LSTM.
Two-Stage COVID19 Classification Using BERT Features
This 3D-CNN-BERT classification network is first trained on sampled fixed number of slice images from every original CT scan volume.
Balanced Masked and Standard Face Recognition
One of the key goals is to have a balanced performance of masked and standard face recognition.
YOLO5Face: Why Reinventing a Face Detector
We make a few key modifications to the YOLOv5 and optimize it for face detection.
Ranked #4 on
Face Detection
on WIDER Face (Easy)
A Dataset and System for Real-Time Gun Detection in Surveillance Video Using Deep Learning
We present a gun detection system using a smart IP camera as an embedded edge device, and a cloud server as a manager for device, data, alert, and to further reduce the false positive rate.
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) using only image-level labels can greatly reduce the annotation cost and therefore has attracted considerable research interest.
Ranked #35 on
Weakly-Supervised Semantic Segmentation
on COCO 2014 val
(using extra training data)
