This is the Linux app named Perception Models whose latest release can be downloaded as perception_modelssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Perception Models with OnWorks for free.
Siga estas instrucciones para ejecutar esta aplicación:
- 1. Descargue esta aplicación en su PC.
- 2. Ingrese en nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.
- 3. Cargue esta aplicación en dicho administrador de archivos.
- 4. Inicie el emulador en línea OnWorks Linux o Windows en línea o el emulador en línea MACOS desde este sitio web.
- 5. Desde el SO OnWorks Linux que acaba de iniciar, vaya a nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.
- 6. Descarga la aplicación, instálala y ejecútala.
SCREENSHOTS
Ad
Modelos de percepción
DESCRIPCIÓN
Perception Models is a state-of-the-art framework developed by Facebook Research for advanced image and video perception tasks. It introduces two primary components: the Perception Encoder (PE) for visual feature extraction and the Perception Language Model (PLM) for multimodal decoding and reasoning. The PE module is a family of vision encoders designed to excel in image and video understanding, surpassing models like SigLIP2, InternVideo2, and DINOv2 across multiple benchmarks. Meanwhile, PLM integrates with PE to power vision-language modeling, achieving results competitive with leading multimodal systems such as QwenVL2.5 and InternVL3, all while being fully reproducible with open data. The project supports a wide range of research applications, from visual recognition and dense prediction to fine-grained multimodal understanding. Additionally, it includes several large-scale open datasets for both image and video perception.
Caracteristicas
- Combines Perception Encoder (PE) for vision encoding and Perception Language Model (PLM) for multimodal decoding
- State-of-the-art performance in image, video, and vision-language benchmarks
- Open, reproducible models using freely available datasets for transparency
- Multiple PE variants specialized for core, language-aligned, and spatial tasks
- PLM available in 1B, 3B, and 8B parameter sizes for flexible research needs
- Integrated with popular tools such as Hugging Face Transformers, timm, and lmms-eval
Lenguaje de programación
Python
Categorías
This is an application that can also be fetched from https://sourceforge.net/projects/perception-models.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
