CVPR 2023

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models

Application of Deep Equlibrium Models to landmark estimation. Train on single isolated images, apply on videos to reduce jitter. New video landmarks dataset.

P. Micaelli, A. Vahdat, H. Yin, J. Kautz, P. Molchanov

Global Vision Transformer Pruning with Hessian-Aware Saliency

Global Vision Transformer Pruning with Hessian-Aware Saliency

Global pruning of vision transformer networks. New parameter redistribution rule for ViT. 2x latency reduction with minor acucracy loss. More than 1.4% accuracy gain when pruned towards smaller model.

H. Yang, H. Yin, M. Shen, P. Molchanov, H. Li, J. Kautz