CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception

arXiv:2609.03818 · cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.AI

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Consistency — 17× in this paper · explained in 3 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Late Fusion — 9× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Modality Gap — 5× in this paper · explained in 4 episodes
• Semantic Context Extractor — 5× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Causal Inference — 3× in this paper · explained in 4 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Conference on Robot Learning — 2× in this paper
• European Conference on Computer Vision — 2× in this paper
• International Conference on Robotics and Automation — 2× in this paper
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Canonical Suppress-Then-Inject — 1× in this paper
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• International Conference on Learning Representations — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Mask-aware Canonical Suppression — 1× in this paper
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Representation-level Structural Causal Model — 1× in this paper
• Road Side Unit — 1× in this paper
• Semantic Gap — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• CARLA: An Open Urban Driving Simulator
• STAMP: Scalable Task And Model-agnostic Collaborative Perception
• Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
• Deep Residual Learning for Image Recognition
• Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
• A Riemannian Network for SPD Matrix Learning
• CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
• Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors
• PointPillars: Fast Encoders for Object Detection from Point Clouds
• Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
• Universal Style Transfer via Feature Transforms
• Learning Distilled Collaboration Graph for Multi-Agent Perception
• Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
• When2com: Multi-Agent Perception via Communication Graph Grouping
• NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
• A ConvNet for the 2020s
• Robust Collaborative 3D Object Detection in Presence of Pose Errors
• Representation Learning with Contrastive Predictive Coding
• Vision-and-Language Navigation via Causal Learning
• Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow

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