[BMVC 2026] Official implementation of PEEK: Picking Essential frames via Efficient Knowledge distillation
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Updated
Aug 19, 2026 - Python
[BMVC 2026] Official implementation of PEEK: Picking Essential frames via Efficient Knowledge distillation
The repository holding the code for our frame sampling benchmark for VLMs
Official code for "Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space"
AI visual memory, visual second brain, video memory for LLMs, screen recording for AI, local-first AI memory, visual RAG, deterministic visual memory, seeded source spine, cryptographic video archive, multimodal memory, frame sampling for AI, AI module attachments, and reproducible screen memory.
Implements DDQN on the CarRacing gymnasium environment, using CNN and frame stacking.
Object-state-based frame sampling for offline training-data curation in video object detection.
Python library devoted to various frame sampling strategies.
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