Oct 12, 2020 · We explore vehicle parsing to learn part-level features, model the correlation among parts, and achieve precise part alignment for vehicle Re-Id ...
The PCRNet explores vehicle parsing to learn discrimina- tive part-level features, model the correlation among vehicle parts, and achieve precise part alignment ...
As for the vehicle Re-ID task, Liu et al. [39] propose a Parsing-guided Cross-part Reasoning Network (PCRNet) to extract part-level feature representation and ...
... Vehicle Re-identification (TMM) arXiv [中文介绍]. Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle Re-identification (ACM MM) paper code.
This repo gives the code for the paper "Xinchen Liu, Wu Liu, Jinkai Zheng, Chenggang Yan, Tao Mei: Beyond the Parts: Learning Multi-view Cross-part Correlation ...
Oct 2, 2020 · ... Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle. Re- identification.. ACM MM 2020. Page 14. 14. Datasets. Methods.
This paper presents a dual-level viewpoint-learning framework that contains an angle invariance pre-training method and a meta-orientation adaptation learning ...
A vehicle re-identification framework based on the improved multi ...
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Oct 12, 2021 · Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification. In Proceedings of the 28th ACM International ...
We present a novel large-scale dataset, Multi-grained Vehicle Parsing (MVP), for semantic analysis of vehicles in the wild, which has several featured ...
May 25, 2023 · Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification. In Proceedings of the 28th ACM International ...