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 instruções para executar este aplicativo:
- 1. Baixe este aplicativo em seu PC.
- 2. Entre em nosso gerenciador de arquivos https://www.onworks.net/myfiles.php?username=XXXXX com o nome de usuário que você deseja.
- 3. Carregue este aplicativo em tal gerenciador de arquivos.
- 4. Inicie o emulador OnWorks Linux online ou Windows online ou emulador MACOS online a partir deste site.
- 5. No sistema operacional OnWorks Linux que você acabou de iniciar, acesse nosso gerenciador de arquivos https://www.onworks.net/myfiles.php?username=XXXXX com o nome de usuário que deseja.
- 6. Baixe o aplicativo, instale-o e execute-o.
SCREENSHOTS
Ad
Modelos de Percepção
DESCRIÇÃO
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.
Recursos
- 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
Linguagem de Programação
Python
Categorias
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.
