Copertina

A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gwilliam, Matthew, Cogswell, Michael, Ye, Meng, Sikka, Karan, Shrivastava, Abhinav, Divakaran, Ajay
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
di: Chen, Yangyi, et al.
Pubblicazione: (2023)

DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
di: Chen, Yangyi, et al.
Pubblicazione: (2023)

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
di: Sahu, Pritish, et al.
Pubblicazione: (2024)

TeCoNeRV: Leveraging Temporal Coherence for Compressible Neural Representations for Videos
di: Padmanabhan, Namitha, et al.
Pubblicazione: (2026)

How to Design and Train Your Implicit Neural Representation for Video Compression
di: Gwilliam, Matthew, et al.
Pubblicazione: (2025)

Punching Bag vs. Punching Person: Motion Transferability in Videos
di: Abdullah, Raiyaan, et al.
Pubblicazione: (2025)

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
di: Aggarwal, Anirud, et al.
Pubblicazione: (2025)

Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory
di: Agarwal, Vatsal, et al.
Pubblicazione: (2026)

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
di: Maiya, Shishira R, et al.
Pubblicazione: (2024)

Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
di: Jayatilaka, Gihan, et al.
Pubblicazione: (2025)

Efficient Continuous Video Flow Model for Video Prediction
di: Shrivastava, Gaurav, et al.
Pubblicazione: (2024)

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction
di: Shrivastava, Gaurav, et al.
Pubblicazione: (2024)

Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
di: Som, Anirudh, et al.
Pubblicazione: (2023)

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
di: Bai, Yushi, et al.
Pubblicazione: (2024)

What is Point Supervision Worth in Video Instance Segmentation?
di: Huang, Shuaiyi, et al.
Pubblicazione: (2024)

NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields
di: Zhu, Eric, et al.
Pubblicazione: (2024)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers
di: Shrivastava, Gaurav, et al.
Pubblicazione: (2024)

A Video Is Not Worth a Thousand Words
di: Pollard, Sam, et al.
Pubblicazione: (2025)

Vript: A Video Is Worth Thousands of Words
di: Yang, Dongjie, et al.
Pubblicazione: (2024)

Accelerate High-Quality Diffusion Models with Inner Loop Feedback
di: Gwilliam, Matthew, et al.
Pubblicazione: (2025)

Towards Understanding Best Practices for Quantization of Vision-Language Models
di: Das, Gautom, et al.
Pubblicazione: (2026)

Sali4Vid: Saliency-Aware Video Reweighting and Adaptive Caption Retrieval for Dense Video Captioning
di: Jeon, MinJu, et al.
Pubblicazione: (2025)

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval
di: Xu, Yifan, et al.
Pubblicazione: (2024)

Multi-entity Video Transformers for Fine-Grained Video Representation Learning
di: Walmer, Matthew, et al.
Pubblicazione: (2023)

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor
di: Agarwal, Vatsal, et al.
Pubblicazione: (2025)

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
di: Padmanabhan, Namitha, et al.
Pubblicazione: (2024)

Retrieval-Augmented Egocentric Video Captioning
di: Xu, Jilan, et al.
Pubblicazione: (2024)

BloomVQA: Assessing Hierarchical Multi-modal Comprehension
di: Gong, Yunye, et al.
Pubblicazione: (2023)

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
di: Chen, Lin, et al.
Pubblicazione: (2024)

Characterizing Motion Encoding in Video Diffusion Timesteps
di: Baherwani, Vatsal, et al.
Pubblicazione: (2025)

UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
di: Wu, Peiran, et al.
Pubblicazione: (2025)

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
di: Goel, Arushi, et al.
Pubblicazione: (2026)

Efficient and High-Fidelity Omni Modality Retrieval
di: Huynh, Chuong, et al.
Pubblicazione: (2026)

Video ReCap: Recursive Captioning of Hour-Long Videos
di: Islam, Md Mohaiminul, et al.
Pubblicazione: (2024)

Fast Encoding and Decoding for Implicit Video Representation
di: Chen, Hao, et al.
Pubblicazione: (2024)

Probing Conceptual Understanding of Large Visual-Language Models
di: Schiappa, Madeline, et al.
Pubblicazione: (2023)

LongCaptioning: Unlocking the Power of Long Video Caption Generation in Large Multimodal Models
di: Wei, Hongchen, et al.
Pubblicazione: (2025)

Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation
di: Waseem, Faraz, et al.
Pubblicazione: (2024)

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
di: Jiang, Ziheng, et al.
Pubblicazione: (2024)

Beyond Caption-Based Queries for Video Moment Retrieval
di: Pujol-Perich, David, et al.
Pubblicazione: (2026)