Oct 23, 2022 · In this work we introduce transformer based modality fusion techniques, which unify multi-modal data at an early stage. Our Anticipative Feature ...

We propose a transformer based feature fusion model to effectively fuse multiple modalities, and follow [20] to use a generative language model for fu- ture ...

Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation (WACV 2023). PWC. This repository contains the official source code and data for our ...

We propose a transformer based feature fusion model to effectively fuse multiple modalities, and follow [20] to use a generative language model for fu- ture ...

The Anticipative Feature Fusion Transformer (AFFT) proves to be superior to popular score fusion approaches and presents state-of-the-art results ...

The authors of [40] proposed a novel transform-based fusion approach which combines multi-modal features (i.e., audio and visual) to predict future actions. To ...

Code for the paper: Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation. ... A toolbox for skeleton-based action recognition.

Action Anticipation on EPIC-KITCHENS-100 (test) ; 3. AFFT. 14.9. Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation ; 4. Abstract Goal.

Anticipative feature fusion transformer for multi-modal action anticipation ... A comparative analysis of decision-level fusion for multimodal driver ...

Our Anticipative Feature Fusion Transformer (AFFT) proves to be superior to popular score fusion approaches and presents state-of-the-art results outperforming ...