10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
Emaad Khwaja, Abdullah Rashwan, Ting Chen +3
We present a one-shot text-to-image diffusion model that can generate high-resolution images from natural language descriptions. Our model employs a layered U-Net architecture that…
cs.CV2023★ 1 cited
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu, Stephen Albro, Giulia DeSalvo +5
Training high-quality instance segmentation models requires an abundance of labeled images with instance masks and classifications, which is often expensive to procure. Active lear…
cs.CV2023★ 10 cited
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Xiuye Gu, Yin Cui, Jonathan Huang +8
Observing the close relationship among panoptic, semantic and instance segmentation tasks, we propose to train a universal multi-dataset multi-task segmentation model: DaTaSeg.We u…