HiLight: Technical Report on the Motern AI Video Language Model
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Abstract (arXiv)
This technical report presents the implementation of a state-of-the-art video encoder for video-text modal alignment and a video conversation framework called HiLight, which features dual visual towers. The work is divided into two main parts: 1.alignment of video and text modalities; 2.convenient and efficient way to interact with users. Our goal is to address the task of video comprehension in the context of billiards. The report includes a discussion of the concepts and the final solution developed during the task's implementation.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 10 of its 12 references that are in the map. First posted on arXiv 10 Jul 2024.
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References · 10
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
- 2023Visual Instruction Tuningcited by 7,869
- 2023Video-LLaVA: Learning United Visual Representation by Alignment Before Projectioncited by 1,402
- 2024Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMscited by 838
- 2024Mini-Gemini: Mining the Potential of Multi-modality Vision Language Modelscited by 365
- 2024Long-CLIP: Unlocking the Long-Text Capability of CLIPcited by 300
- 2024VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understandingcited by 115
- 2024Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Modelscited by 97
- 2024Improving fine-grained understanding in image-text pre-trainingcited by 44
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