SIFT meets CNN: A decade survey of instance retrieval
In the early days, content-based image retrieval (CBIR) was studied with global features.
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …
Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively …
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review
B Omarov, S Narynov, Z Zhumanov, A Gumar… - PeerJ Computer …, 2022 - peerj.com
We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …
disassemble the present condition and anticipate the emerging trends of violence discovery …
R2former: Unified retrieval and reranking transformer for place recognition
Abstract Visual Place Recognition (VPR) estimates the location of query images by matching
them with images in a reference database. Conventional methods generally adopt …
them with images in a reference database. Conventional methods generally adopt …
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 …
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 …
Visual place recognition: A survey from deep learning perspective
Visual place recognition has attracted widespread research interest in multiple fields such
as computer vision and robotics. Recently, researchers have employed advanced deep …
as computer vision and robotics. Recently, researchers have employed advanced deep …
Transvpr: Transformer-based place recognition with multi-level attention aggregation
Visual place recognition is a challenging task for applications such as autonomous driving
navigation and mobile robot localization. Distracting elements presenting in complex scenes …
navigation and mobile robot localization. Distracting elements presenting in complex scenes …
AnyLoc: Towards Universal Visual Place Recognition
Visual Place Recognition (VPR) is vital for robot localization. To date, the most performant
VPR approaches are environment-and task-specific: while they exhibit strong performance …
VPR approaches are environment-and task-specific: while they exhibit strong performance …
Benchmarking 6dof outdoor visual localization in changing conditions
Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …
augmented reality applications to link virtual to real worlds. Practical visual localization …