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Recent advances in deep learning for object detection
Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …
been widely studied in the past decades. Visual object detection aims to find objects of …
YOLOv6: A single-stage object detection framework for industrial applications
For years, the YOLO series has been the de facto industry-level standard for efficient object
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …
Gradient alignment for cross-domain face anti-spoofing
Recent advancements in domain generalization (DG) for face anti-spoofing (FAS) have
garnered considerable attention. Traditional methods have focused on designing learning …
garnered considerable attention. Traditional methods have focused on designing learning …
Lightweight convolutional neural network model for human face detection in risk situations
In this article, we propose a model of face detection in risk situations to help rescue teams
speed up the search of people who might need help. The proposed lightweight …
speed up the search of people who might need help. The proposed lightweight …
Going deeper into face detection: A survey
Face detection is a crucial first step in many facial recognition and face analysis systems.
Early approaches for face detection were mainly based on classifiers built on top of hand …
Early approaches for face detection were mainly based on classifiers built on top of hand …
Refineface: Refinement neural network for high performance face detection
Face detection has achieved significant progress in recent years. However, high
performance face detection still remains a very challenging problem, especially when there …
performance face detection still remains a very challenging problem, especially when there …
Super-identity convolutional neural network for face hallucination
Face hallucination is a generative task to super-resolve the facial image with low resolution
while human perception of face heavily relies on identity information. However, previous …
while human perception of face heavily relies on identity information. However, previous …
Lffd: A light and fast face detector for edge devices
Face detection, as a fundamental technology for various applications, is always deployed on
edge devices which have limited memory storage and low computing power. This paper …
edge devices which have limited memory storage and low computing power. This paper …
Survey of face detection on low-quality images
Face detection is a well-explored problem. Many challenges on face detectors like extreme
pose, illumination, low resolution and small scales are studied in the previous work …
pose, illumination, low resolution and small scales are studied in the previous work …
Multi-task cascaded convolutional networks based intelligent fruit detection for designing automated robot
Effective and efficient fruit detection is considered crucial for designing automated robot
(AuRo) for yield estimation, disease control, harvesting, sorting, and grading. Several fruit …
(AuRo) for yield estimation, disease control, harvesting, sorting, and grading. Several fruit …