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AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection

AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection

22 September 2022
Yipeng Gao
Lingxiao Yang
Yunmu Huang
Song Xie
Shiyong Li
Weihao Zheng
    ObjD
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Papers citing "AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection"

13 / 13 papers shown
Title
Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
Hongda Qin
Xiao-Qiang Lu
Zhiyong Wei
Yihong Cao
Kailun Yang
Ningjiang Chen
ObjD
MLLM
VLM
31
0
0
12 May 2025
MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images
Nimra Dilawar
Sara Nadeem
Javed Iqbal
Waqas Sultani
Mohsen Ali
61
0
0
05 Mar 2025
DreamView: Injecting View-specific Text Guidance into Text-to-3D
  Generation
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
Junkai Yan
Yipeng Gao
Q. Yang
Xihan Wei
Xuansong Xie
Ancong Wu
Wei-Shi Zheng
35
1
0
09 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
49
1
0
24 Mar 2024
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjD
OOD
36
18
0
24 Jul 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
32
13
0
15 Mar 2023
Seeking Similarities over Differences: Similarity-based Domain Alignment
  for Adaptive Object Detection
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Farzaneh Rezaeianaran
Rakshith Shetty
Rahaf Aljundi
Daniel Olmeda Reino
Shanshan Zhang
Bernt Schiele
OOD
54
77
0
04 Oct 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
228
968
0
13 Dec 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
160
198
0
23 Mar 2020
Exploring Categorical Regularization for Domain Adaptive Object
  Detection
Exploring Categorical Regularization for Domain Adaptive Object Detection
Chang-Dong Xu
Xingjie Zhao
Xin Jin
Xiu-Shen Wei
OOD
ObjD
129
284
0
20 Mar 2020
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
83
544
0
16 Mar 2020
Harmonizing Transferability and Discriminability for Adapting Object
  Detectors
Harmonizing Transferability and Discriminability for Adapting Object Detectors
Chaoqi Chen
Zebiao Zheng
Xinghao Ding
Yue Huang
Qi Dou
42
270
0
13 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
160
340
0
09 Mar 2020
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