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Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning

23 January 2021
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
ArXivPDFHTML

Papers citing "Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning"

4 / 4 papers shown
Title
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
32
0
0
09 Sep 2024
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Minghua Liu
Yin Zhou
C. Qi
Boqing Gong
Hao Su
Drago Anguelov
3DPC
12
55
0
14 Oct 2022
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
171
350
0
12 Jun 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
234
11,568
0
09 Mar 2017
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