Research map / Vision-language and multimodal / Human and embodied modeling
UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use UTC rather than VDBERT | VisDial v1.0 val discriminative · VisDial v1.0 val | R@1: 54.02 -> 55.48 | Helped |
| Use UTC rather than LTMI | VisDial v1.0 val generative · VisDial v1.0 val | R@1: 40.44 -> 42.56 | Helped |
| Use UTC rather than LTMI | VisDial v1.0 val generative · VisDial v1.0 val | R@10: 69.71 -> 69.51 | Hurt |
| Apply UTC contrastive learning to the VisDial-BERT fine-tuned model | VisDial v1.0 test discriminative · VisDial v1.0 test | NDCG: 63.87 -> 64.60 | Helped |
| Add joint training of the generative task to the ranking task (ablation) | UTC discriminative · VisDial v1.0 val | R@1: 53.94 -> 54.39 | Helped |
| Add joint training of the discriminative task to the generation task (ablation) | UTC generative · VisDial v1.0 val | R@1: 41.39 -> 41.75 | Helped |
| Add answer and context contrastive losses (ablation) | UTC discriminative · VisDial v1.0 val | R@1: 54.39 -> 55.48 | Helped |
| Add answer and context contrastive losses (ablation) | UTC generative · VisDial v1.0 val | R@1: 41.75 -> 42.56 | Helped |
| Add answer contrastive loss (ablation) | UTC generative · VisDial v1.0 val | R@1: 41.75 -> 42.56 | Helped |
| Add context contrastive loss (ablation) | UTC discriminative · VisDial v1.0 val | R@1: 54.39 -> 55.24 | Helped |
| Add context contrastive loss to answer-contrastive training (ablation) | UTC generative · VisDial v1.0 val | R@1: 42.52 -> 42.56 | No clear effect |
| Add answer contrastive loss to context-contrastive training (ablation) | UTC discriminative · VisDial v1.0 val | R@1: 55.24 -> 55.48 | No clear effect |
Closest papers by meaning
- V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts (CVPR 2025 · similarity 0.89)
- Structure-Aware Multimodal Sequential Learning for Visual Dialog (AAAI 2024 · similarity 0.87)
- Tackling Vision Language Tasks through Learning Inner Monologues (AAAI 2024 · similarity 0.87)
- From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue (AAAI 2024 · similarity 0.86)
- F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model (AAAI 2026 · similarity 0.86)
- Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering (NeurIPS 2025 · similarity 0.86)
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