06f1fd69a6
3.3 KiB
This model was published in HF papers on 2025-04-17 and contributed to Hugging Face Transformers on 2025-07-11.
PerceptionLM
Overview
The PerceptionLM model was proposed in PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding by Jang Hyun Cho et al. It's a fully open, reproducible model for transparent research in image and video understanding. PLM consists of a vision encoder with a small scale (<8B parameters) LLM decoder.
The abstract from the paper is the following:
Vision-language models are integral to computer vision research, yet many high-performing models remain closed-source, obscuring their data, design and training recipe. The research community has responded by using distillation from black-box models to label training data, achieving strong benchmark results, at the cost of measurable scientific progress. However, without knowing the details of the teacher model and its data sources, scientific progress remains difficult to measure. In this paper, we study building a Perception Language Model (PLM) in a fully open and reproducible framework for transparent research in image and video understanding. We analyze standard training pipelines without distillation from proprietary models and explore large-scale synthetic data to identify critical data gaps, particularly in detailed video understanding. To bridge these gaps, we release 2.8M human-labeled instances of fine-grained video question-answer pairs and spatio-temporally grounded video captions. Additionally, we introduce PLM–VideoBench, a suite for evaluating challenging video understanding tasks focusing on the ability to reason about “what”, “where”, “when”, and “how” of a video. We make our work fully reproducible by providing data, training recipes, code & models.
This model was contributed by shumingh. The original code can be found here.
PerceptionLMConfig
autodoc PerceptionLMConfig
PerceptionLMProcessor
autodoc PerceptionLMProcessor - call
PerceptionLMImageProcessor
autodoc PerceptionLMImageProcessor - preprocess
PerceptionLMVideoProcessor
autodoc PerceptionLMVideoProcessor
PerceptionLMModel
autodoc PerceptionLMModel
PerceptionLMForConditionalGeneration
autodoc PerceptionLMForConditionalGeneration - forward