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. 2207.11169
  4. Cited By
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

22 July 2022
Kibok Lee
Hao Yang
Satyaki Chakraborty
Zhaowei Cai
Gurumurthy Swaminathan
Avinash Ravichandran
O. Dabeer
ArXivPDFHTML

Papers citing "Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark"

12 / 12 papers shown
Title
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
Boyuan Meng
X. Zhang
Peilin Li
Zhe Wu
Yiming Li
Wenkai Zhao
B. Yu
Hui-Liang Shen
ViT
42
0
0
02 May 2025
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
Prannay Kaul
Zhizhong Li
Hao-Yu Yang
Yonatan Dukler
Ashwin Swaminathan
C. Taylor
Stefano Soatto
HILM
49
15
0
08 May 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
31
1
0
18 Apr 2024
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
Zeyu Shangguan
Daniel Seita
Mohammad Rostami
ObjD
45
1
0
24 Mar 2024
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Tsung-Yi Lin
Weicheng Kuo
Yin Cui
VLM
ObjD
223
897
0
28 Apr 2021
Simple multi-dataset detection
Simple multi-dataset detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
228
112
0
25 Feb 2021
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
75
541
0
16 Mar 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
239
455
0
11 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
444
0
28 Sep 2019
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian-jun Sun
211
672
0
30 Apr 2018
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
243
11,659
0
09 Mar 2017
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in
  Natural Images
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit
Tomas Matera
Lukás Neumann
Jirí Matas
Serge J. Belongie
180
515
0
26 Jan 2016
1