Dual cross-attention learning for fine-grained visual categorization and object re-identification
Recently, self-attention mechanisms have shown impressive performance in various NLP
and CV tasks, which can help capture sequential characteristics and derive global …
and CV tasks, which can help capture sequential characteristics and derive global …
Behavioral intention prediction in driving scenes: A survey
In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
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 …
Latent image animator: Learning to animate images via latent space navigation
Due to the remarkable progress of deep generative models, animating images has become
increasingly efficient, whereas associated results have become increasingly realistic …
increasingly efficient, whereas associated results have become increasingly realistic …
The 7th ai city challenge
Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
Align and tell: Boosting text-video retrieval with local alignment and fine-grained supervision
Text-video retrieval is one of the basic tasks for multimodal research and has been widely
harnessed in many real-world systems. Most existing approaches directly compare the …
harnessed in many real-world systems. Most existing approaches directly compare the …
Gan-siamese network for cross-domain vehicle re-identification in intelligent transport systems
Z Zhou, Y Li, J Li, K Yu, G Kou, M Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The vehicle re-identification (Re-ID) has become one of most important techniques for
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …
Clothing status awareness for long-term person re-identification
Long-Term person re-identification (LT-reID) exposes extreme challenges because of the
longer time gaps between two recording footages where a person is likely to change …
longer time gaps between two recording footages where a person is likely to change …
Pedestrian-specific bipartite-aware similarity learning for text-based person retrieval
Text-based person retrieval is a challenging task that aims to search pedestrian images with
the same identity according to language descriptions. Current methods usually …
the same identity according to language descriptions. Current methods usually …
Each part matters: Local patterns facilitate cross-view geo-localization
Cross-view geo-localization is to spot images of the same geographic target from different
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …