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Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater
  Detection under Varying Scenario Distributions

Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions

11 December 2023
Yifan Liu
Tiecheng Song
Chengye Xian
Ruiyuan Chen
Yi Zhao
Rui Li
Tan Guo
ArXivPDFHTML

Papers citing "Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions"

27 / 27 papers shown
Title
Multi-view Adversarial Discriminator: Mine the Non-causal Factors for
  Object Detection in Unseen Domains
Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains
Min Xu
Lingyun Qin
Weijie Chen
Shiliang Pu
Lei Zhang
OOD
71
30
0
06 Apr 2023
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised
  Domain Adaptive Object Detection
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
Mikhail Kennerley
Jian-Gang Wang
B. Veeravalli
R. Tan
ObjD
72
39
0
24 Mar 2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
BiFormer: Vision Transformer with Bi-Level Routing Attention
Lei Zhu
Xinjiang Wang
Zhanghan Ke
Wayne Zhang
Rynson W. H. Lau
172
513
0
15 Mar 2023
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
63
166
0
16 Nov 2022
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
156
6,519
0
06 Jul 2022
SimMatch: Semi-supervised Learning with Similarity Matching
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
77
181
0
14 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
159
5,167
0
10 Jan 2022
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
524
3,718
0
24 Feb 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
216
5,073
0
08 Oct 2020
DetectoRS: Detecting Objects with Recursive Feature Pyramid and
  Switchable Atrous Convolution
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao
Liang-Chieh Chen
Alan Yuille
ObjD
70
767
0
03 Jun 2020
Memory Enhanced Global-Local Aggregation for Video Object Detection
Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen
Yue Cao
Han Hu
Liwei Wang
160
262
0
26 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
155
3,549
0
21 Jan 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
154
1,545
0
05 Dec 2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang
H. Liao
I-Hau Yeh
Yueh-hua Wu
Ping-Yang Chen
J. Hsieh
80
3,101
0
27 Nov 2019
GhostNet: More Features from Cheap Operations
GhostNet: More Features from Cheap Operations
Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
89
2,673
0
27 Nov 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
131
4,018
0
08 Oct 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
140
2,866
0
17 Jun 2019
Res2Net: A New Multi-scale Backbone Architecture
Res2Net: A New Multi-scale Backbone Architecture
Shanghua Gao
Ming-Ming Cheng
Kai Zhao
Xinyu Zhang
Ming-Hsuan Yang
Philip Torr
107
2,391
0
02 Apr 2019
Augmentation for small object detection
Augmentation for small object detection
Mate Kisantal
Z. Wojna
Jakub Murawski
Jacek Naruniec
Kyunghyun Cho
ObjD
37
550
0
19 Feb 2019
Scale-Aware Trident Networks for Object Detection
Scale-Aware Trident Networks for Object Detection
Yanghao Li
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
ObjD
78
884
0
07 Jan 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
222
16,541
0
17 Jul 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
94
5,753
0
05 Mar 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
125
2,175
0
28 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,481
0
05 Sep 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
463
22,102
0
09 Dec 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
242
18,232
0
02 Jun 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
148
2,418
0
12 Apr 2016
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