MEMO: Multi-Level Entity-Aware Memory for Streaming Video Understanding
cs.CV
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
- ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding
- GPT-4o System Card
- LLaVA-OneVision: Easy Visual Task Transfer
- Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation
- StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
- StreamChat: Chatting with Streaming Video
- LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval
- DINOv2: Learning Robust Visual Features without Supervision
- SAM 2: Segment Anything in Images and Videos
- A Survey of Token Compression for Efficient Multimodal Large Language Models
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
- Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
- StreamingVLM: Real-Time Understanding for Infinite Video Streams
- StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding
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