ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.01083
  4. Cited By
Consistency Prototype Module and Motion Compensation for Few-Shot Action
  Recognition (CLIP-CP$\mathbf{M^2}$C)

Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM2\mathbf{M^2}M2C)

2 December 2023
Fei-Yu Guo
Li Zhu
YiKang Wang
Han Qi
ArXivPDFHTML

Papers citing "Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP$\mathbf{M^2}$C)"

5 / 5 papers shown
Title
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
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
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
X. Wang
ViT
VLM
189
499
0
22 Feb 2022
ActionCLIP: A New Paradigm for Video Action Recognition
ActionCLIP: A New Paradigm for Video Action Recognition
Mengmeng Wang
Jiazheng Xing
Yong Liu
VLM
149
362
0
17 Sep 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip
  Retrieval
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo
Lei Ji
Ming Zhong
Yang Chen
Wen Lei
Nan Duan
Tianrui Li
CLIP
VLM
311
780
0
18 Apr 2021
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
284
11,681
0
09 Mar 2017
1