XWOD is a large-scale real-world benchmark for traffic object detection under seven extreme weather conditions that improves zero-shot generalization to other weather datasets.
BDD100K: A diverse driving dataset for heterogeneous multitask learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
ACCEPT 1roles
dataset 1polarities
background 1representative citing papers
citing papers explorer
-
XWOD: A Real-World Benchmark for Object Detection under Extreme Weather Conditions
XWOD is a large-scale real-world benchmark for traffic object detection under seven extreme weather conditions that improves zero-shot generalization to other weather datasets.