mlsanityData to 7 Oct 2026

ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report

arXiv 2407.09760 ↗First posted 13 Jul 2024cs.CV cs.AIcited by 0

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Abstract (arXiv)

The Visual-Dialog Based Emotion Explanation Generation Challenge focuses on generating emotion explanations through visual-dialog interactions in art discussions. Our approach combines state-of-the-art multi-modal models, including Language Model (LM) and Large Vision Language Model (LVLM), to achieve superior performance. By leveraging these models, we outperform existing benchmarks, securing the top rank in the ICCV23 Visual-Dialog Based Emotion Explanation Generation Challenge, which is part of the 5th Workshop On Closing The Loop Between Vision And Language (CLCV) with significant scores in F1 and BLEU metrics. Our method demonstrates exceptional ability in generating accurate emotion explanations, advancing our understanding of emotional impacts in art.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 13 references that are in the map. First posted on arXiv 13 Jul 2024.

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References · 11

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  4. 2023GPT-4 Technical Reportcited by 18,132
  5. 2023Visual Instruction Tuningcited by 7,792
  6. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,069
  7. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  8. 2023Improved Baselines with Visual Instruction Tuningcited by 4,362
  9. 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,310
  10. 2023MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Modelscited by 2,689
  11. 2023Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversationscited by 4

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  3. 2024Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models
  4. 2026ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models
  5. 2026InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark
  6. 2023TouchStone: Evaluating Vision-Language Models by Language Models
  7. 2026Do Emotion Concepts Generalize Across Sources, Modalities, and Architectures in Vision-Language Models?
  8. 2026MultiEmo-Bench: Multi-label Visual Emotion Analysis for Multi-modal Large Language Models