A survey on performance metrics for object-detection algorithms
This work explores and compares the plethora of metrics for the performance evaluation of
object-detection algorithms. Average precision (AP), for instance, is a popular metric for …
object-detection algorithms. Average precision (AP), for instance, is a popular metric for …
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 …
[HTML][HTML] A comparative analysis of object detection metrics with a companion open-source toolkit
Recent outstanding results of supervised object detection in competitions and challenges
are often associated with specific metrics and datasets. The evaluation of such methods …
are often associated with specific metrics and datasets. The evaluation of such methods …
Retinaface: Single-stage dense face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient face localisation in the wild remains an open challenge. This paper presents a …
efficient face localisation in the wild remains an open challenge. This paper presents a …
Object detection with deep learning: A review
Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …
has attracted much research attention in recent years. Traditional object detection methods …
Occlusion-aware R-CNN: Detecting pedestrians in a crowd
Pedestrian detection in crowded scenes is a challenging problem since the pedestrians
often gather together and occlude each other. In this paper, we propose a new occlusion …
often gather together and occlude each other. In this paper, we propose a new occlusion …
S3fd: Single shot scale-invariant face detector
This paper presents a real-time face detector, named Single Shot Scale-invariant Face
Detector (S3FD), which performs superiorly on various scales of faces with a single deep …
Detector (S3FD), which performs superiorly on various scales of faces with a single deep …
Pyramidbox: A context-assisted single shot face detector
Face detection has been well studied for many years and one of remaining challenges is to
detect small, blurred and partially occluded faces in uncontrolled environment. This paper …
detect small, blurred and partially occluded faces in uncontrolled environment. This paper …
Ssh: Single stage headless face detector
M Najibi, P Samangouei… - Proceedings of the …, 2017 - openaccess.thecvf.com
Abstract We introduce the Single Stage Headless (SSH) face detector. Unlike two stage
proposal-classification detectors, SSH detects faces in a single stage directly from the early …
proposal-classification detectors, SSH detects faces in a single stage directly from the early …
Faceboxes: A CPU real-time face detector with high accuracy
Although tremendous strides have been made in face detection, one of the remaining open
challenges is to achieve real-time speed on the CPU as well as maintain high performance …
challenges is to achieve real-time speed on the CPU as well as maintain high performance …