Cover Image

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yi, Li, Kunchang, Li, Xinhao, Yu, Jiashuo, He, Yinan, Wang, Chenting, Chen, Guo, Pei, Baoqi, Yan, Ziang, Zheng, Rongkun, Xu, Jilan, Wang, Zun, Shi, Yansong, Jiang, Tianxiang, Li, Songze, Zhang, Hongjie, Huang, Yifei, Qiao, Yu, Wang, Yali, Wang, Limin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
by: Wang, Yi, et al.
Published: (2025)

InternVideo-Next: Towards General Video Foundation Models without Video-Text Supervision
by: Wang, Chenting, et al.
Published: (2025)

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
by: Zeng, Xiangyu, et al.
Published: (2024)

VideoMamba: State Space Model for Efficient Video Understanding
by: Li, Kunchang, et al.
Published: (2024)

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
by: Li, Xinhao, et al.
Published: (2024)

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
by: Wang, Yi, et al.
Published: (2023)

Make Your Training Flexible: Towards Deployment-Efficient Video Models
by: Wang, Chenting, et al.
Published: (2025)

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
by: Li, Kunchang, et al.
Published: (2023)

Unmasked Teacher: Towards Training-Efficient Video Foundation Models
by: Li, Kunchang, et al.
Published: (2023)

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
by: Yan, Ziang, et al.
Published: (2024)

Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
by: Chen, Guo, et al.
Published: (2024)

Harvest Video Foundation Models via Efficient Post-Pretraining
by: Li, Yizhuo, et al.
Published: (2023)

VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model
by: Li, Xinhao, et al.
Published: (2024)

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception
by: Yan, Ziang, et al.
Published: (2025)

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
by: Wang, Zun, et al.
Published: (2024)

EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
by: Pei, Baoqi, et al.
Published: (2024)

Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
by: Pei, Baoqi, et al.
Published: (2025)

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
by: Li, Xinhao, et al.
Published: (2025)

CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding
by: Chen, Guo, et al.
Published: (2024)

VideoChat: Chat-Centric Video Understanding
by: Li, KunChang, et al.
Published: (2023)

EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
by: Huang, Yifei, et al.
Published: (2024)

LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering
by: Zhang, Hongjie, et al.
Published: (2023)

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos
by: Yu, Jiashuo, et al.
Published: (2025)

ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
by: Xu, Yicheng, et al.
Published: (2025)

Video-o3: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning
by: Zeng, Xiangyu, et al.
Published: (2026)

Super Encoding Network: Recursive Association of Multi-Modal Encoders for Video Understanding
by: Chen, Boyu, et al.
Published: (2025)

Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition
by: Chen, Boyu, et al.
Published: (2024)

VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning
by: Wang, Zikang, et al.
Published: (2025)

VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary Annotations
by: Dong, Lu, et al.
Published: (2025)

ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
by: Li, Xinhao, et al.
Published: (2023)

FreeRet: MLLMs as Training-Free Retrievers
by: Zhu, Yuhan, et al.
Published: (2025)

V-Stylist: Video Stylization via Collaboration and Reflection of MLLM Agents
by: Yue, Zhengrong, et al.
Published: (2025)

RIVER: A Real-Time Interaction Benchmark for Video LLMs
by: Shi, Yansong, et al.
Published: (2026)

TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
by: Guo, Yiwei, et al.
Published: (2024)

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
by: Xu, Jilan, et al.
Published: (2025)

EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
by: He, Yuping, et al.
Published: (2025)

MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
by: Ding, Yanbo, et al.
Published: (2024)

Learning Goal-Oriented Vision-and-Language Navigation with Self-Improving Demonstrations at Scale
by: Li, Songze, et al.
Published: (2025)

Vlogger: Make Your Dream A Vlog
by: Zhuang, Shaobin, et al.
Published: (2024)

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
by: Deng, Nianchen, et al.
Published: (2025)