Search Results for author:
Found 4 papers, 2 papers with code
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
Unsupervised person re-identification (re-ID) has become an important topic due to its potential to resolve the scalability problem of supervised re-ID models.
Knowledge Transfer Based Fine-grained Visual Classification
Convolution neural networks (CNNs), which employ the cross entropy loss (CE-loss) as the loss function, show poor performance since the model can only learn the most discriminative part and ignore other meaningful regions.
Ranked #36 on
Fine-Grained Image Classification
on CUB-200-2011
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification
To this end, we propose a Self-Supervised Knowledge Distillation (SSKD) technique containing two modules, the identity learning and the soft label learning.
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
This module contains two key components, the channel attention guided dropout (CAGD) and the spatial attention guided dropblock (SAGD).
