GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
Detection

GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection

27 December 2023

Fanman Meng

Papers citing "GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection"

6 / 6 papers shown

Title
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 19 8 0 05 Oct 2022
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 48 109 0 04 May 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 65 177 0 02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 26 83 0 01 Mar 2021
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 151 440 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017