Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Amidst heightened global manufacturing competition, quality control and resource management are pivotal for industry transformation and upgrading. This study employs unilateral hypothesis ...
Abstract: Temporal awareness is essential for video large language models (LLMs) to understand and reason about events within long videos, enabling applications like dense video captioning and ...
This repo aimed at curating all information related to evidence accumulation models (EAMs) or seqeuntial sampling models (SSMs). Drift-diffusion models (DDMs) and linear balstic accumulator (LBA) are ...
This workflow automates the process of evaluating how well Vision-Language Models understand video content. It takes a model and a video benchmark, extracts frames from test videos, feeds them through ...
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