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PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models
Large Vision-Language Models (VLMs) have been extended to understand both images
and videos. Visual token compression is leveraged to reduce the considerable token length …
and videos. Visual token compression is leveraged to reduce the considerable token length …
DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
Video large language models (VLLMs) have significantly advanced recently in processing
complex video content, yet their inference efficiency remains constrained because of the …
complex video content, yet their inference efficiency remains constrained because of the …
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models
C Wei, Y Zhong, H Tan, Y Zeng, Y Liu, Z Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Boosted by Multi-modal Large Language Models (MLLMs), text-guided universal
segmentation models for the image and video domains have made rapid progress recently …
segmentation models for the image and video domains have made rapid progress recently …
LinVT: Empower Your Image-level Large Language Model to Understand Videos
L Gao, Y Zhong, Y Zeng, H Tan, D Li, Z Zhao - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have been widely used in various tasks, motivating us to
develop an LLM-based assistant for videos. Instead of training from scratch, we propose a …
develop an LLM-based assistant for videos. Instead of training from scratch, we propose a …
freePruner: A Training-free Approach for Large Multimodal Model Acceleration
Large Multimodal Models (LMMs) have demonstrated impressive capabilities in visual-
language tasks but face significant deployment challenges due to their high computational …
language tasks but face significant deployment challenges due to their high computational …