Search Results for author:
Found 2 papers, 0 papers with code
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification
With the large-scale and dynamic road environment, the paradigm of supervised vehicle re-identification shows limited scalability because of the heavy reliance on large-scale annotated datasets.
Self-Supervised Learning
Unsupervised Vehicle Re-Identification
+1
DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification
Vehicle re-identification (Re-ID) has become a popular research topic owing to its practicability in intelligent transportation systems.
