MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model
for Few-Shot Instance Segmentation

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

9 March 2023

Trung-Nghia Le

Papers citing "MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation"

6 / 6 papers shown

Title
Explore In-Context Segmentation via Latent Diffusion Models Chaoyang Wang Xiangtai Li Henghui Ding Lu Qi Jiangning Zhang Yunhai Tong Chen Change Loy Shuicheng Yan DiffM 45 6 0 14 Mar 2024
iFS-RCNN: An Incremental Few-shot Instance Segmenter Khoi Duc Minh Nguyen S. Todorovic ISeg CLL 38 20 0 31 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 200 1,330 0 24 Jan 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 187 388 0 06 Dec 2021
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 73 535 0 16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 143 440 0 28 Sep 2019