Prompting Visual-Language Models for Efficient Video Understanding

8 December 2021

Papers citing "Prompting Visual-Language Models for Efficient Video Understanding"

6 / 56 papers shown

Title
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Multi-modal Transformer for Video Retrieval Valentin Gabeur Chen Sun Alahari Karteek Cordelia Schmid ViT 404 594 0 21 Jul 2020
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 129 127 0 03 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation Tianwei Lin Xu Zhao Haisheng Su Chongjing Wang Ming Yang 135 691 0 08 Jun 2018
Learning Attributes Equals Multi-Source Domain Generalization Chuang Gan Tianbao Yang Boqing Gong OOD 150 197 0 03 May 2016