Xuehao Wang

Most self-distillation methods for agentic RL fail to consistently outperform a strong baseline, and impressive final scores often hide unstable training dynamics and substantial computational overhead.

RGB-only salient object detection can outperform traditional RGB-D methods by leveraging reliable geometry distillation without using depth data during inference.