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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
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Papers citing
"Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning"
8 / 8 papers shown
Title
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
40
0
0
09 Sep 2024
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
18
10
0
26 Apr 2023
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Rui-lan Zhang
Wei Wei
Xian-Ling Mao
Rui Fang
Dangyang Chen
33
11
0
17 Oct 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Minghua Liu
Yin Zhou
C. Qi
Boqing Gong
Hao Su
Drago Anguelov
3DPC
42
54
0
14 Oct 2022
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLM
SSL
DRL
44
39
0
04 Aug 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
42
87
0
16 Jul 2021
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
186
351
0
12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
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