Advancing Video-Text Pretraining with Multi-View Captions

arXiv:2609.35090 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Project page: https://rvandeghen.github.io/mvc

Terminology

• Benchmark — 31× in this paper · explained in 2 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Foundation Models — 4× in this paper · explained in 7 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• King Abdullah University of Science and Technology — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• Qwen3-VL Technical Report
• VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling
• SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
• Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
• The Kinetics Human Action Video Dataset
• Tarsier: Recipes for Training and Evaluating Large Video Description Models
• InternVideo: General Video Foundation Models via Generative and Discriminative Learning
• CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval
• CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment
• VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners
• Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
• Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining

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