右:无源域自适应(source- free Domain Adaptation, SFDA)设置,即在没有源数据的情况下,通过伪标签自训练和提出的实例关系图(Instance Relation Graph, IRG)网络引导对比损失,使源训练模型适应目标域。 SFDA比UDA更具挑战性。具体来说,除了目标数据没有标签之外,源数据在适应期间也无法访问。因此,大多数SFDA检测方法...
Source-free domain adaptation：无源域适应（SFDA）现有方法可以分为三个不同的类别。第一类方法明确地将...
Thermal Object Detection using Domain Adaptation through 存储自动驾驶无人驾驶神经网络图像识别 最近发生的一起自动驾驶车辆致命事故引发了一场关于在自动驾驶传感器套件中使用红外技术以提高鲁棒目标检测可见性的辩论。与激光雷达、雷达和照相机相比,热成像具有探测红外光谱中物体发出的热差的优点。相比之下,激光雷达和相...
domain adaptationobject detectionperturbationtransfer learningThe current unsupervised crossヾomain detection methods need source domain data to retrain the detection model in target domain. However, the source domain data may be unavailable due to privacy, decentralization, or computation resource ...
self-training | 域迁移 | source-free(第二篇) 上图展示了source-free domain adaptation和一般的DA的区别。在之前的两篇source-free的论文中已经反复讲解,不再赘述。 1 方法 这文章也是使用Positive learning和Negative Learning的方法。 方法名称:Source-Free domain adaptive Semantic Segmentation (SFSS)...
Source-free domain adaptation (SFDA) is a challenging problem in object detection, where a pre-trained source model is adapted to a new target domain without using any source domain data for privacy and efficiency reasons. Most state-of-the-art SFDA methods for object detection have been propos...
Detection Is All You Need: A Feasible Optimal Prior-Free Black-Box Approach For Piecewise Stationary Bandits 31 p. Vintix: Action Model via In-Context Reinforcement Learning 11 p. Scalable-Softmax Is Superior for Attention 14 p. Do LLMs Strategically Reveal, Conceal, and Infer Information...
Source data-free domain adaptation of object detector through domain-specific perturbation 来自 掌桥科研 喜欢 0 阅读量: 239 作者:L Xiong,M Ye,D Zhang,Y Gan,X Li,Y Zhu 摘要: The current unsupervised ...
Source-free domain adaptation (SFDA) is a challenging problem in object detection, where a pre-trained source model is adapted to a new target domain without using any source domain data for privacy and efficiency reasons. Most state-of-the-art SFDA methods for object detection have been ...
Source-free domain adaptation (SFDA) is a challenging problem in object detection, where a pre-trained source model is adapted to a new target domain without using any source domain data for privacy and efficiency reasons. Most state-of-the-art SFDA methods for object detection have been ...