Siamese neural networks: An overview
D Chicco - Artificial neural networks, 2021 - Springer
Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …
element vectors are compared, many different similarity approaches can be used …
A survey of advances in vision-based vehicle re-identification
Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …
its applications and research significance. In particular, the V-reID is an important problem …
Gait recognition in the wild with dense 3d representations and a benchmark
Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
TBE-Net: A three-branch embedding network with part-aware ability and feature complementary learning for vehicle re-identification
Vehicle re-identification (Re-ID) is one of the promising applications in the field of computer
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …
Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints
across multiple cameras. Capturing the fine-grained appearance differences is often the key …
across multiple cameras. Capturing the fine-grained appearance differences is often the key …
Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification
Urban traffic optimization using traffic cameras as sensors is driving the need to advance
state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a …
state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a …
Fastreid: A pytorch toolbox for general instance re-identification
General Instance Re-identification is a very important task in computer vision, which can be
widely used in many practical applications, such as person/vehicle re-identification, face …
widely used in many practical applications, such as person/vehicle re-identification, face …
Unsupervised person re-identification: Clustering and fine-tuning
The superiority of deeply learned pedestrian representations has been reported in very
recent literature of person re-identification (re-ID). In this article, we consider the more …
recent literature of person re-identification (re-ID). In this article, we consider the more …
Wireless image retrieval at the edge
M Jankowski, D Gündüz… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
We study the image retrieval problem at the wireless edge, where an edge device captures
an image, which is then used to retrieve similar images from an edge server. These can be …
an image, which is then used to retrieve similar images from an edge server. These can be …
Parsing-based view-aware embedding network for vehicle re-identification
Abstract Vehicle Re-Identification is to find images of the same vehicle from various views in
the cross-camera scenario. The main challenges of this task are the large intra-instance …
the cross-camera scenario. The main challenges of this task are the large intra-instance …