MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification

8 December 2021

Papers citing "MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification"

8 / 8 papers shown

Title
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition Congqi Cao Peiheng Han Y. Zhang Yating Yu Qinyi Lv Lingtong Min Yanning Zhang VLM 40 0 0 09 May 2025
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Yilong Wang Zilin Gao Qilong Wang Zhaofeng Chen P. Li Q. Hu 80 1 0 28 Nov 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 67 3 0 20 Jul 2024
VidTr: Video Transformer Without Convolutions Yanyi Zhang Xinyu Li Chunhui Liu Bing Shuai Yi Zhu Biagio Brattoli Hao Chen I. Marsic Joseph Tighe ViT 136 193 0 23 Apr 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 330 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 629 0 17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017