DP-DDCL: A discriminative prototype with dual decoupled contrast learning method for few-shot object detection-Reference-Cited by-同舟云学术

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DP-DDCL: A discriminative prototype with dual decoupled contrast learning method for few-shot object detection

Published:2024-08 Issue: Volume:297 Page:111964
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Guo Yinsai,Ma Liyan,Luo Xiangfeng,Xie Shaorong

Publisher

Elsevier BV

Reference50 articles.

1. Detach and unite: A simple meta-transfer for few-shot learning;Zheng;Knowl.-Based Syst.,2023

2. Contrastive class-specific encoding for few-shot object detection;Lin,2022

3. FSCE: few-shot object detection via contrastive proposal encoding;Sun,2021

4. Ira-fsod: Instant-response and accurate few-shot object detector;Huang;IEEE Trans. Circuits Syst. Video Technol.,2023

5. Semi-supervised few-shot object detection via adaptive pseudo labeling;Tang;IEEE Trans. Circuits Syst. Video Technol.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VLM-guided Explicit-Implicit Complementary novel class semantic learning for few-shot object detection;Expert Systems with Applications;2024-12

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