Results 51 to 60 of about 1,105,657 (336)
Anchor pruning for object detection
Computer Vision and Image Understanding, 2022 This paper proposes anchor pruning for object detection in one-stage anchor-based detectors. While pruning techniques are widely used to reduce the computational cost of convolutional neural networks, they tend to focus on optimizing the backbone networks where often most computations are.
Maxim Bonnaerens +2 more
openaire +3 more sources
Improving Small Object Proposals for Company Logo Detection [PDF]
, 2017 Many modern approaches for object detection are two-staged pipelines. The first stage identifies regions of interest which are then classified in the second stage.
Bell S. +6 more
core +2 more sources
Activity Driven Weakly Supervised Object Detection
, 2019 Weakly supervised object detection aims at reducing the amount of supervision required to train detection models. Such models are traditionally learned from images/videos labelled only with the object class and not the object bounding box.
Ghadiyaram, Deepti +4 more
core +1 more source
CenterNet++ for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence11 pages, 9 figures, 8 tables.
Kaiwen Duan +5 more
openaire +3 more sources
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video [PDF]
, 2017 Object detection is considered one of the most challenging problems in this field of computer vision, as it involves the combination of object classification and object localization within a scene.
Chywl, Brendan +3 more
core +3 more sources
IEEE Transactions on Pattern Analysis and Machine IntelligenceObject detection, a fundamental and challenging problem in computer vision, has experienced rapid development due to the effectiveness of deep learning. The current objects to be detected are mostly rigid solid substances with apparent and distinct visual characteristics.
Kailai Zhou +4 more
openaire +3 more sources
A comprehensive review on intelligent surveillance systems
Communications in Science and Technology, 2016 Intelligent surveillance system (ISS) has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human ...
Sutrisno Warsono Ibrahim
doaj +1 more source
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang +4 more
doaj +1 more source
Pseudo Mask Augmented Object Detection
, 2018 In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.
Liang, Shuang +2 more
core +1 more source