FlashGaze: Training-Free Multi-Scale Patch Pruning For Efficient Video Understanding
cs.CV
Submitted: 2026-10-03
Updated: 2026-10-03
Terminology
Sources
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- Token Merging: Your ViT But Faster
- Scaling the Long Video Understanding of Multimodal Large Language Models via Visual Memory Mechanism
- FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
- EarlyTom: Early Token Compression Completes Fast Video Understanding
- PixelPrune: Pixel-Level Adaptive Visual Token Reduction via Predictive Coding
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
- VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
- LLaVA-Video: Video Instruction Tuning With Synthetic Data
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