Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 30, 2026Remote SensingOpen Access

HALD-FSOD: Hierarchical Adaptive Learning with Asymmetric Margin and Loss-Aware Dynamic Weighting for Few-Shot Object Detection in Remote Sensing Imagery

View Full Paper
Ask AI
Bookmark
Share

Authors

BLBo LiuYZYuanben ZhangYGY ouzhong Guo

Discussion

Loading...

Member takes

Overview

Randomized trial demonstrates improved novel-class detection in remote sensing imagery, suggesting effective class adaptation methods.

Key Points

  • This research aims to enhance few-shot object detection performance in remote sensing images while preserving base-class knowledge.
  • Proposed a two-stage fine-tuning approach for few-shot object detection.
  • Developed an asymmetric margin-enhanced cosine classifier for novel classes.
  • Implemented a loss-aware dynamic class weighting mechanism to address learning imbalance.
  • HALD-FSOD showed significant improvements in novel-class detection efficacy without sacrificing base-class performance.
  • No additional learnable parameters were introduced, maintaining operational efficiency.
  • Achieved competitive performance across DIOR and NWPU VHR 10.v2 datasets.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a435c8c759b888809a52fbfhttps://doi.org/10.3390/rs18132093
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Few-Shot Object Detection Framework for Remote Sensing Images Based on Adaptive Decision Boundary and Multi-Scale Feature Enhancement2026 · 1 citations
  2. 2LFODet: Lightweight Few-Shot Object Detection with Meta-Learning in Remote Sensing Images2026
  3. 3Few-Shot Object Detection in Remote Sensing Images via Data Clearing and Stationary Meta-Learning2024 · 13 citations
  4. 4Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images2024 · 1 citations
  5. 5Two-Stage Fine-Tuning of Large Vision-Language Models with Hierarchical Prompting for Few-Shot Object Detection in Remote Sensing Images2026 · 5 citations