Optimizing ViViT Training: Time and Memory Reduction for Action Recognition

7 June 2023

Papers citing "Optimizing ViViT Training: Time and Memory Reduction for Action Recognition"

8 / 8 papers shown

Title
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos Shreyank N. Gowda Boyan Gao David A. Clifton 24 5 0 05 Aug 2024
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation Shreyank N. Gowda David A. Clifton MedIm 26 1 0 31 Jul 2024
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship Shreyank N. Gowda Xinyue Hao Gen Li Laura Sevilla-Lara Shashank Narayana Gowda HAI 13 10 0 10 Oct 2023
Telling Stories for Common Sense Zero-Shot Action Recognition Shreyank N. Gowda Carolina Scarton LM&Ro 22 2 0 29 Sep 2023
End-to-End Spatio-Temporal Action Localisation with Video Transformers A. Gritsenko Xuehan Xiong Josip Djolonga Mostafa Dehghani Chen Sun Mario Lucic Cordelia Schmid Anurag Arnab ViT 32 13 0 24 Apr 2023
SCENIC: A JAX Library for Computer Vision Research and Beyond Mostafa Dehghani A. Gritsenko Anurag Arnab Matthias Minderer Yi Tay 41 67 0 18 Oct 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 166 684 0 22 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,978 0 09 Feb 2021