Dynamic Relevance Learning for Few-Shot Object Detection

4 August 2021

Papers citing "Dynamic Relevance Learning for Few-Shot Object Detection"

7 / 7 papers shown

Title
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 11 3 0 25 Oct 2022
A Unified Framework for Attention-Based Few-Shot Object Detection Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 24 2 0 06 Jan 2022
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 94 177 0 02 Mar 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 42 43 0 10 Jan 2021
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 83 544 0 16 Mar 2020
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 160 446 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 311 11,681 0 09 Mar 2017