Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study
Convolutional neural networks (CNN) are widely used in computer vision and medical
image analysis as the state-of-the-art technique. In CNN, pooling layers are included mainly …
image analysis as the state-of-the-art technique. In CNN, pooling layers are included mainly …
Image inpainting: A review
Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …
around for many years, it has recently gained even more popularity, because of the recent …
Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …
systems, which must deal with the twin problems of appearance and viewpoint change in an …
Rethinking visual geo-localization for large-scale applications
Visual Geo-localization (VG) is the task of estimating the position where a given photo was
taken by comparing it with a large database of images of known locations. To investigate …
taken by comparing it with a large database of images of known locations. To investigate …
An edge traffic flow detection scheme based on deep learning in an intelligent transportation system
An intelligent transportation system (ITS) plays an important role in public transport
management, security and other issues. Traffic flow detection is an important part of the ITS …
management, security and other issues. Traffic flow detection is an important part of the ITS …
Mixvpr: Feature mixing for visual place recognition
A Ali-Bey, B Chaib-Draa… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Visual Place Recognition (VPR) is a crucial part of mobile robotics and autonomous
driving as well as other computer vision tasks. It refers to the process of identifying a place …
driving as well as other computer vision tasks. It refers to the process of identifying a place …
Rethinking RGB-D salient object detection: Models, data sets, and large-scale benchmarks
The use of RGB-D information for salient object detection (SOD) has been extensively
explored in recent years. However, relatively few efforts have been put toward modeling …
explored in recent years. However, relatively few efforts have been put toward modeling …
The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection
KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Ssap: Single-shot instance segmentation with affinity pyramid
Recently, proposal-free instance segmentation has received increasing attention due to its
concise and efficient pipeline. Generally, proposal-free methods generate instance-agnostic …
concise and efficient pipeline. Generally, proposal-free methods generate instance-agnostic …
Eigenplaces: Training viewpoint robust models for visual place recognition
Abstract Visual Place Recognition is a task that aims to predict the place of an image (called
query) based solely on its visual features. This is typically done through image retrieval …
query) based solely on its visual features. This is typically done through image retrieval …