PEARL: A Lightweight Prompt-based Feature Interpreter Framework for Real-Time, Anonymous, and Heterogeneous Collaborative Perception
cs.CV, cs.LG
Submitted: 2026-09-22
Updated: 2026-09-22
Code: https://github.com/arminmaleki007/PEARL
Terminology
Sources
- Vehicle-to-Everything Cooperative Perception for Autonomous Driving
- Self-Localized Collaborative Perception
- An Extensible Framework for Open Heterogeneous Collaborative Perception
- CoBEVMoE: Heterogeneity-aware Feature Fusion with Dynamic Mixture-of-Experts for Collaborative Perception
- NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
- Bridging the Domain Gap for Multi-Agent Perception
- Faster-HEAL: An Efficient and Privacy-Preserving Collaborative Perception Framework for Heterogeneous Autonomous Vehicles
- Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments
- UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
- CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
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