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SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
21 June 2021
Jianhua Han
Xiwen Liang
Hang Xu
Kai Chen
Lanqing Hong
Jiageng Mao
Chao Ye
Wei Zhang
Zhenguo Li
Xi Liang
Chunjing Xu
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Papers citing
"SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving"
35 / 35 papers shown
Title
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
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Jingtao Li
Weiming Zhuang
C. L. Philip Chen
Lingjuan Lyu
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0
01 Sep 2025
Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation
Guangyu Sun
Jingtao Li
Weiming Zhuang
Chen Chen
C. L. Philip Chen
Lingjuan Lyu
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0
22 Aug 2025
RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection
Matthias Neuwirth-Trapp
Maarten Bieshaar
Danda Pani Paudel
Luc Van Gool
161
1
0
19 Aug 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
233
2
0
05 May 2025
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
Yue Li
Meng Tian
Zhenyu Lin
Jiangtong Zhu
Dechang Zhu
Haiqiang Liu
Zining Wang
Yueyi Zhang
Zhiwei Xiong
Xinhai Zhao
CoGe
VLM
300
7
0
27 Mar 2025
Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines
Xinyi Ying
Chao Xiao
Ruojing Li
Xu He
Boyang Li
...
Miao Li
Shilin Zhou
Wei An
Weidong Sheng
Tianpeng Liu
329
24
0
21 Feb 2025
Baichuan-Omni-1.5 Technical Report
Yadong Li
Qingbin Liu
Tao Zhang
Tao Zhang
Tian Jin
...
Jianhua Xu
Haoze Sun
Mingan Lin
Guosheng Dong
Xin Wu
AuLLM
288
58
0
28 Jan 2025
Open-Vocabulary Object Detection via Language Hierarchy
Neural Information Processing Systems (NeurIPS), 2024
Jiaxing Huang
Jingyi Zhang
Kai Jiang
Shijian Lu
ObjD
VLM
277
3
0
27 Oct 2024
Weakly Supervised Test-Time Domain Adaptation for Object Detection
Anh-Dzung Doan
Bach Long Nguyen
Terry Lim
M. Jayawardhana
Surabhi Gupta
Christophe Guettier
Ian Reid
Markus Wagner
Tat-Jun Chin
TTA
127
1
0
08 Jul 2024
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception
Guanqun Wang
Xinyu Wei
Jiaming Liu
Ray Zhang
Yichi Zhang
Kevin Zhang
Maurice Chong
Shanghang Zhang
VLM
LRM
102
3
0
22 Jun 2024
ClaudesLens: Uncertainty Quantification in Computer Vision Models
Mohamad Al Shaar
Nils Ekström
Gustav Gille
Reza Rezvan
Ivan Wely
UQCV
48
1
0
18 Jun 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
Huiping Zhuang
Di Fang
Kai Tong
Yuchen Liu
Huiping Zhuang
Xu Zhou
Cen Chen
CLL
211
10
0
28 May 2024
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets
Ruining Yang
Yuqi Peng
123
6
0
29 Mar 2024
Efficient Transferability Assessment for Selection of Pre-trained Detectors
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
130
0
0
14 Mar 2024
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
Zhili Liu
Kai Chen
Jianhua Han
Lanqing Hong
Hang Xu
Zhenguo Li
James T. Kwok
MoE
246
29
0
08 Feb 2024
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
Lixing Xiao
Ruixiao Shi
Xiaoyang Tang
Yi Zhou
142
0
0
03 Feb 2024
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset
Mirza Nihal Baig
Rony Hajong
Mahdi Murshed Patwary
Mohammad Shahidur Rahman
Husne Ara Chowdhury
61
1
0
19 Jan 2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
IEEE Transactions on Intelligent Vehicles (TIV), 2024
Mingyu Liu
Ekim Yurtsever
Jonathan Fossaert
Xingcheng Zhou
Walter Zimmer
Yuning Cui
B. L. Žagar
Alois Knoll
372
76
0
02 Jan 2024
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Zezhou Wang
Guitao Cao
Xidong Xi
Jiangtao Wang
193
3
0
25 Nov 2023
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection
Taehyeon Kim
Eric Lin
Junu Lee
Christian Lau
Vaikkunth Mugunthan
FedML
233
9
0
26 Oct 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
138
12
0
18 Sep 2023
DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms
Jihun Lee
SP Choi
Bumsoo Kang
Hyekyoung Seok
Hyoungseok Ahn
Sanghee Jung
159
0
0
15 Sep 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
International Conference on Pattern Recognition (ICPR), 2023
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
112
2
0
21 Jun 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
Neural Information Processing Systems (NeurIPS), 2023
Ori Press
Steffen Schneider
Matthias Kümmerer
Matthias Bethge
TTA
210
46
0
08 Jun 2023
Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism
Image and Vision Computing (IVC), 2023
Haoxuan Xu
Songning Lai
Xianyang Li
Y. Yang
ViT
207
17
0
31 May 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
IEEE Communications Surveys and Tutorials (COMST), 2023
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
262
60
0
13 Apr 2023
Learning to Name Classes for Vision and Language Models
Computer Vision and Pattern Recognition (CVPR), 2023
Sarah Parisot
Yongxin Yang
Jingyu Sun
VLM
139
15
0
04 Apr 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
277
468
0
17 Mar 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
325
23
0
06 Feb 2023
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Lorenzo Pellegrini
Chenchen Zhu
Fanyi Xiao
Zhicheng Yan
Antonio Carta
Matthias De Lange
Vincenzo Lomonaco
Roshan Sumbaly
Pau Rodríguez López
David Vazquez
CLL
207
7
0
13 Dec 2022
Label-Efficient Object Detection via Region Proposal Network Pre-Training
Neurocomputing (Neurocomputing), 2022
Nanqing Dong
Linus Ericsson
Yongxin Yang
A. Leonardis
Jingyu Sun
ObjD
194
6
0
16 Nov 2022
Towards Large-Scale Small Object Detection: Survey and Benchmarks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Gong Cheng
Xiang Yuan
Xiwen Yao
Ke Yan
Qinghua Zeng
Xingxing Xie
Junwei Han
ObjD
294
488
0
28 Jul 2022
Cross-domain Federated Object Detection
IEEE International Conference on Multimedia and Expo (ICME), 2022
Shangchao Su
Bin Li
Chengzhi Zhang
Min Yang
Xiangyang Xue
FedML
174
11
0
30 Jun 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
European Conference on Computer Vision (ECCV), 2022
Kaican Li
Kai Chen
Haoyu Wang
Lanqing Hong
Chao Ye
...
Chunjing Xu
Dit-Yan Yeung
Xiaodan Liang
Zhenguo Li
Hang Xu
230
127
0
15 Mar 2022
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
1.1K
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17 Jun 2020
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