Search Results for author:
Found 2 papers, 1 papers with code
Meta Convolutional Neural Networks for Single Domain Generalization
Taking meta features as reference, we propose compositional operations to eliminate irrelevant features of local convolutional features by an addressing process and then to reformulate the convolutional feature maps as a composition of related meta features.
Ranked #5 on
Single-Source Domain Generalization
on Digits-five
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Specifically, we introduce Gait recognition as an auxiliary task to drive the Image ReID model to learn cloth-agnostic representations by leveraging personal unique and cloth-independent gait information, we name this framework as GI-ReID.
Ranked #6 on
Person Re-Identification
on VC-Clothes
Cloth-Changing Person Re-Identification
Computational Efficiency
+1
