Aug 2, 2023 · We propose DiffusePast, a novel framework featuring a diffusion-based generative replay module that generates semantically accurate images with more reliable ...
To tackle these challenges, we propose DiffusePast, a novel framework featuring a diffusion-based generative replay module that generates semantically accurate ...
In this paper, we introduced the SDDGR strategy, a novel diffusion-based deep generative replay approach for class incremental object detection. ... Convolutional ...
Missing: DiffusePast: Semantic
Aug 2, 2023 · 具体来说，DiffusePast 引入了双生成器范例，其重点是生成与下游数据集的分布一致的旧类图像，同时保留原始图像的结构和布局，从而实现更精确的掩模。为了不断 ...
Our method utilizes a diffusion-based generative model with pre-trained text-to-image diffusion networks to generate realistic and diverse synthetic images.
Missing: DiffusePast: Semantic
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation · no code implementations • 2 Aug 2023 • Jingfan Chen, Yuxi Wang ...
Uncertainty-aware pseudo label refinery for domain adaptive semantic segmentation. Y Wang, J Peng, ZX Zhang. Proceedings of the IEEE/CVF international ...
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation · no code implementations • 2 Aug 2023 • Jingfan Chen, Yuxi Wang ...
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation. J Chen, Y Wang, P Wang, X Chen, Z Zhang, Z Lei, Q Li. arXiv ...
... Class Incremental Semantic Segmentation (ECCV24)[paper][code] ... DDGR: Continual Learning with Deep Diffusion-based Generative Replay (ICML2023)[paper] ...
Missing: DiffusePast: | Show results with:DiffusePast: