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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"

13 / 13 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
Xinming Zhang
Peilin Li
Zhe Wu
Yiming Li
Wenkai Zhao
B. Yu
Hui-Liang Shen
ViT
93
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 Yang
Yonatan Dukler
Ashwin Swaminathan
C. Taylor
Stefano Soatto
HILM
55
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
51
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
52
1
0
24 Mar 2024
A Meta-Learning Approach to Predicting Performance and Data Requirements
A Meta-Learning Approach to Predicting Performance and Data Requirements
Achin Jain
Gurumurthy Swaminathan
Paolo Favaro
Hao Yang
Avinash Ravichandran
...
Alessandro Achille
O. Dabeer
Bernt Schiele
A. Swaminathan
Stefano Soatto
37
8
0
02 Mar 2023
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Nayeon Lee
Weicheng Kuo
Huayu Chen
VLM
ObjD
225
899
0
28 Apr 2021
Simple multi-dataset detection
Simple multi-dataset detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
236
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
95
544
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
254
457
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
446
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 Sun
222
675
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
338
11,684
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
188
515
0
26 Jan 2016
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