Video Mamba Suite

A novel state-space model in the field of video understanding, offering a multifunctional suite for video modeling.

CommonProductVideoVideo UnderstandingState-space Model

The Video Mamba Suite is a new state-space model suite for video understanding designed to explore and assess the potential of Mamba in video modeling. It contains 14 models/modules, covering 12 video understanding tasks, demonstrating efficient performance and superiority in both video and video-language tasks.

Video Temporal Modeling: Used for tasks such as temporal action localization
temporal action segmentation
and dense video subtitle generation.
Cross-modal Interaction: Achieve interactive tasks such as video time localization and highlight detection.
Video Temporal Adapter: Supports zero-shot/micro-adjusted instance retrieval and micro-adjusted action recognition.
Spatial-Temporal Modeling: Provides zero-shot/micro-adjusted instance retrieval and micro-adjusted action recognition features.
Model Zoo: Includes various pre-trained models such as TimeSformer-B
CLIP-400M
and Ego4D-4M.

Computer Vision Researchers: Provide new video understanding models to promote research progress.
Video Analysis Developers: Integrate efficient video analysis tools to enhance product performance.
AI Enterprises: Utilize advanced video modeling techniques to develop innovative AI applications.

Using Mamba for Temporal Action Localization to improve the accuracy of action recognition.
Integrating the Video Temporal Grounding model to enhance the interactive analysis of video content.
Utilizing the Video Mamba Suite for Long-form Video Question-Answer tasks to enhance the intelligence of video Q&A systems.

Step 1: Clone the Video Mamba Suite repository to your local environment.
Step 2: Create and activate a Python 3.9 environment.
Step 3: Install PyTorch and related dependencies.
Step 4: Install other necessary Python libraries based on requirements.txt.
Step 5: Navigate to the causal-conv1d and mamba directories and run setup.py to set up the development environment.

Visit

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Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

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