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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 …
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 …
Git: Graph interactive transformer for vehicle re-identification
F Shen, Y ** camera views. Despite great advances have been achieved in intra …