IEEE

Learning Category-Level Generalizable Object Manipulation Policy Via Generative Adversarial Self-Imitation Learning From Demonstrations

Abstract: Generalizable object manipulation skills are critical for intelligent and multi-functional robots to work in real-world complex scenes. Despite the recent progress in reinforcement learning, ...
IEEE

COQ-DETR: Category-Aware Object Queries in Meta-DETR for Few-Shot Object Detection

Abstract: Few-shot object detection (FSOD) aims to detect objects in an image with only a few annotated samples. Among existing methods, Meta-DETR has proved to be particularly effective for FSOD.