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TNT: Text-Conditioned Network with Transductive Inference for Few-Shot
  Video Classification

TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification

21 June 2021
Andrés Villa
Juan-Manuel Perez-Rua
Victor Escorcia
Vladimir Araujo
Juan Carlos Niebles
Alvaro Soto
ArXivPDFHTML

Papers citing "TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification"

3 / 3 papers shown
Title
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
131
127
0
03 Mar 2020
ECO: Efficient Convolutional Network for Online Video Understanding
ECO: Efficient Convolutional Network for Online Video Understanding
Mohammadreza Zolfaghari
Kamaljeet Singh
Thomas Brox
127
496
0
24 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
311
11,681
0
09 Mar 2017
1