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CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection

11 October 2022
Wuti Xiong
ArXivPDFHTML

Papers citing "CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection"

3 / 3 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
30
0
0
02 May 2025
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
535
0
16 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,279
0
06 Mar 2017
1