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D-YOLO a robust framework for object detection in adverse weather
  conditions

D-YOLO a robust framework for object detection in adverse weather conditions

14 March 2024
Zihan Chu
ArXivPDFHTML

Papers citing "D-YOLO a robust framework for object detection in adverse weather conditions"

4 / 4 papers shown
Title
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions
Mateus Karvat
Sidney Givigi
39
3
0
08 Oct 2024
Omni-Dimensional Dynamic Convolution
Omni-Dimensional Dynamic Convolution
Chao Li
Aojun Zhou
Anbang Yao
43
227
0
16 Sep 2022
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
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
289
36,320
0
08 Jun 2015
1