dual_branch_vit_adaptive_counter_guide - Dual-Branch ViT RGB/Event Fusion
Integrate Counter_Guide module with Adaptive_Weight into dual-branch ViT for RGB/Event fusion using Multi_Context architecture
Tags
Updated: 2026-03-10Capabilities
Typical Inputs
Typical Outputs
What this skill does
- implement self-attention module
- create multi_context attention
- apply adaptive weighting
- enhance RGB features
- enhance Event features
- integrate Counter_Guide module
- fuse RGB and Event data
- process 1D sequence features
Inputs
- RGB sequence features
- Event sequence features
- channel dimensions
- layer index
Outputs
- enhanced RGB features
- enhanced Event features
- fused feature representations
Requirements
- PyTorch framework
- dual-branch ViT architecture