Research map / Vision-language and multimodal / Human and embodied modeling
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add image modality with multi-interactive memory network vs best multimodal baseline | aspect-level sentiment model · Multi-ZOL | accuracy: 60.43 -> 61.59 | Helped |
| add cross-modality attention (vs self-only) (ablation) | MIMN · Multi-ZOL | accuracy: 60.50 -> 61.59 | Helped |
| add image2text attention (ablation) | MIMN · Multi-ZOL | accuracy: 61.17 -> 61.59 | Helped |
| add text2image attention (ablation) | MIMN · Multi-ZOL | accuracy: 61.23 -> 61.59 | Helped |
| increase memory hops from 1 to 3 (ablation) | MIMN · Multi-ZOL | accuracy: 60.08 -> 61.59 | Helped |
| increase memory hops beyond 3 (to 5) (ablation) | MIMN · Multi-ZOL | accuracy: 61.59 -> 60.11 | Hurt |
Closest papers by meaning
- DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis (AAAI 2025 · similarity 0.88)
- Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios (AAAI 2025 · similarity 0.88)
- A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis (AAAI 2024 · similarity 0.87)
- Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis (AAAI 2025 · similarity 0.87)
- You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification (AAAI 2024 · similarity 0.87)
- DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis (AAAI 2025 · similarity 0.86)
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