ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.13027
  4. Cited By
Experience feedback using Representation Learning for Few-Shot Object
  Detection on Aerial Images

Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images

27 September 2021
Pierre Le Jeune
M. Lebbah
Anissa Zergaïnoh-Mokraoui
Hanene Azzag
    ObjD
ArXivPDFHTML

Papers citing "Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images"

6 / 6 papers shown
Title
Rethinking Intersection Over Union for Small Object Detection in
  Few-Shot Regime
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
19
6
0
17 Jul 2023
A Comparative Attention Framework for Better Few-Shot Object Detection
  on Aerial Images
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
24
3
0
25 Oct 2022
A Unified Framework for Attention-Based Few-Shot Object Detection
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
31
2
0
06 Jan 2022
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
95
544
0
16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1