OpenIXCLab/SeCVOS
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction [๐ GitHub] [๐ฆ Model] [๐ Homepage] [๐ Paper] Highlights ๐ฅWe introduce Segment Concept (SeC), a concept-driven segmentation framework for video object segmentation that integrates Large Vision-Language Models (LVLMs) for robust, object-centric representations. ๐ฅSeC dynamically balances semantic reasoning with feature matching, adaptively adjusting computational efforts basedโฆ See the full description on the dataset page: https://huggingface.co/datasets/OpenIXCLab/SeCVOS.
| Author / organization | OpenIXCLab |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 126 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 17 July 2025 |
| Last updated at source | 22 July 2025 |
Recent changes
- 16 Oct 2026 Description: SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction [๐ GitHub] [๐ฆ Model] [๐ Homepage] [๐ Paper] Highlights ๐ฅWe introduce Segment Concept (SeC), a concept-driven segmentation framework for video object โ SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction [๐ GitHub] [๐ฆ Model] [๐ Homepage] [๐ Paper] Highlights ๐ฅWe introduce Segment Concept (SeC), a concept-driven segmentation framework for video object
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