Counterfactual attention learning for fine-grained visual categorization and re-identification
Attention mechanism has demonstrated great potential in fine-grained visual recognition
tasks. In this paper, we present a counterfactual attention learning method to learn more …
tasks. In this paper, we present a counterfactual attention learning method to learn more …
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 …
Attention, please! A survey of neural attention models in deep learning
A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
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 …
Part-regularized near-duplicate vehicle re-identification
Vehicle re-identification (Re-ID) has been attracting more interests in computer vision owing
to its great contributions in urban surveillance and intelligent transportation. With the …
to its great contributions in urban surveillance and intelligent transportation. With the …
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 …
Veri-wild: A large dataset and a new method for vehicle re-identification in the wild
Abstract Vehicle Re-identification (ReID) is of great significance to the intelligent
transportation and public security. However, many challenging issues of Vehicle ReID in …
transportation and public security. However, many challenging issues of Vehicle ReID in …
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 …