Abstract: 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 of visual inputs.

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I believe if the look forward length is greater than the length of the stimulus vector, the indexing to grab the proper shifted section of the stimulus vector wraps instead of simply ending. I assume ...

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Abstract: Developing a signal compression technique that is able to achieve a low bit rate while maintaining high perceptual signal quality is a classical signal processing problem vigorously studied ...