articleNeurocomputingJan 16, 2026Closed access

A lightweight framework for robust object detection in adverse weather based on dual-teacher feature alignment

Sichuan University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

14
total citations
FWCI
302.64
Percentile
100%
References
21
Too recent for citation history.

Authors

5

Topics & keywords

Keywords
  • Adverse weather
  • Object detection
  • Feature (linguistics)
  • Feature learning
  • Deep learning
  • Semantics (computer science)
  • Consistency (knowledge bases)
  • Semantic gap
UN Sustainable Development Goals
  • Sustainable cities and communities
No related works found for this paper.

Funding