Search Results for author:
Found 3 papers, 2 papers with code
An Effective Deep Network for Head Pose Estimation without Keypoints
2) We design an architecture with the ResNet18 backbone and train our proposed model with the ensemble of these pseudo labels via the knowledge distillation process.
Ranked #6 on
Head Pose Estimation
on BIWI
(MAE (trained with BIWI data) metric)
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
We suggest to use modern Hopfield networks to tackle the problem of explaining away.
Unsupervised Anomaly Detection for X-Ray Images
Therefore, we adopt state-of-the-art approaches for unsupervised learning to detect anomalies and show how the outputs of these methods can be explained.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
