Dc-former: Diverse and compact transformer for person re-identification
In person re-identification (ReID) task, it is still challenging to learn discriminative
representation by deep learning, due to limited data. Generally speaking, the model will get …
representation by deep learning, due to limited data. Generally speaking, the model will get …
Deep learning-based computer vision methods for complex traffic environments perception: A review
Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …
driving (AD) have gravitated towards deep neural network architectures in recent years …
Cavit: Contextual alignment vision transformer for video object re-identification
Video object re-identification (reID) aims at re-identifying the same object under non-
overlapping cameras by matching the video tracklets with cropped video frames. The key …
overlapping cameras by matching the video tracklets with cropped video frames. The key …
Saliency and granularity: Discovering temporal coherence for video-based person re-identification
Video-based person re-identification (ReID) matches the same people across the video
sequences with rich spatial and temporal information in complex scenes. It is highly …
sequences with rich spatial and temporal information in complex scenes. It is highly …
Vehicle re-identification in aerial images and videos: Dataset and approach
In this work, we propose a large-scale dataset, VRAI, and an effective Orientation Adaptive
and Salience Attentive (OASA) Network for vehicle re-identification (ReID) in aerial imagery …
and Salience Attentive (OASA) Network for vehicle re-identification (ReID) in aerial imagery …
GW-net: An efficient grad-CAM consistency neural network with weakening of random erasing features for semi-supervised person re-identification
S Zhu, Y Zhang, Y Feng - Image and Vision Computing, 2023 - Elsevier
Person re-identification (Re-ID) subject to loss of detailed information (sacrificing certain
intricate body details) in samples caused by conventional regularization algorithms and …
intricate body details) in samples caused by conventional regularization algorithms and …
Graph convolution based efficient re-ranking for visual retrieval
Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at
effectively and thoroughly searching images with similar content or the same identity. After …
effectively and thoroughly searching images with similar content or the same identity. After …
Weakly supervised contrastive learning for unsupervised vehicle reidentification
Reidentification (Re-id) of vehicles in a multicamera system is an essential process for traffic
control automation. Previously, there have been efforts to reidentify vehicles based on shots …
control automation. Previously, there have been efforts to reidentify vehicles based on shots …
A meta-learning approach for domain generalisation across visual modalities in vehicle re-identification
E Kamenou, JM Del Rincón, P Miller… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent advances in imaging technologies have enabled the usage of infrared spectrum
data for computer vision tasks previously working with traditional RGB data, such as re …
data for computer vision tasks previously working with traditional RGB data, such as re …
Video person re-identification using attribute-enhanced features
In this work we propose to boost video-based person re-identification (Re-ID) by using
attribute-enhanced feature presentation. To this end, we not only try to use the ID-relevant …
attribute-enhanced feature presentation. To this end, we not only try to use the ID-relevant …