研究表明，人类视觉系统在复杂的环境条件下仍能保持强大的目标识别能力。人类的视觉不仅依赖于直接的图像特征，还依赖于上下文信息、先验知识和联想推理，能够快速准确地识别低质量的目标。然而，人工判读方法也存在显著局限性，例如处理速度较慢、操作时间较长。在复杂的任务场景中，操作员需要同时监控多个目标和任务，这可能导致因认知超负荷而降低效率和准确性。这为开发一种融合人类认知机制的智能检测系统提供了宝贵基础。人 ...

Video object segmentation and saliency detection are pivotal research domains within computer vision, addressing the automated separation of foreground objects from complex backgrounds in dynamic ...

KERV.ai, the leader in AI-powered video analysis, performance, and monetization, announced the launch of its Contextual Marketplace, the first solution to offer its pixel-edge, object-level contextual ...

New AI video generator tools combine machine learning with deep learning, natural language processing, computer vision, and cloud computing.