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Found 6 papers, 1 papers with code
Feature Chirality in Deep Learning Models
As deep learning applications extensively increase by leaps and bounds, their interpretability has become increasingly prominent.
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
Unsupervised learning technology has caught up with or even surpassed supervised learning technology in general object classification (GOC) and person re-identification (re-ID).
Real-time 3D human action recognition based on Hyperpoint sequence
Instead of capturing spatio-temporal local structures, SequentialPointNet encodes the temporal evolution of static appearances to recognize human actions.
Grafted network for person re-identification
In order to relieve this problem, we propose a novel grafted network (GraftedNet), which is designed by grafting a high-accuracy rootstock and a light-weighted scion.
A heterogeneous branch and multi-level classification network for person re-identification
A new heterogeneous branch, SE-Res-Branch, is proposed based on the SE-Res module, which consists of the Squeeze-and-Excitation block and the residual block.
Ensemble Feature for Person Re-Identification
However, deep feature extracted by a single CNN network is not robust enough in testing stage.
