SeekNet: Improved Human Instance Segmentation via Reinforcement Learning Based Optimized Robot Relocation.

摘要: Amodal recognition is the ability of system to detect occluded objects. Most state-of-the-art Visual Recognition systems lack perform amodal recognition. Few studies have achieved through passive prediction or embodied approaches. However, these approaches suffer from challenges in real-world applications, such as dynamic We propose SeekNet, an improved optimization method for visual Additionally, we implement SeekNet social robots, where there are multiple interactions with crowded humans. Hence, focus on human detection & tracking and showcase superiority our algorithm over other baselines. also experiment improve confidence COVID-19 symptoms pre-screening algorithms using efficient system.