Abstract: Domain-adaptive object detection (DAOD) aims to generalize detectors trained in labeled source domains to unlabeled target domains by mitigating domain bias. Recent studies have confirmed ...

Abstract: Light field semantic segmentation accurately identifies the semantic information of the scene, providing solutions for various intelligent computing tasks in consumer electronics and CIoT, ...

Recent advancements in large language models (LLMs) have raised concerns about inference costs, increasing the need for research into model compression. While knowledge distillation (KD) is a ...