Papers Unsupervised Zero-Shot Instance Segmentation

“Unsupervised Zero-Shot Instance Segmentation” 태그가 달린 논문 3편 · 필터 해제

Unsupervised Universal Image Segmentation

2023-12-28 · CVPR 2024 1 · Dantong Niu, Xudong Wang, Xinyang Han, Long Lian 외

Several unsupervised image segmentation approaches have been proposed which eliminate the need for dense manually-annotated segmentation masks; current models separately handle either semantic segmentation (e.g., STEGO) …

Image Segmentation Instance Segmentation Panoptic Segmentation Segmentation+8

Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation

2023-11-03 · Shichao Dong, Fayao Liu, Guosheng Lin

Recently, large-scale pre-trained models such as Segment-Anything Model (SAM) and Contrastive Language-Image Pre-training (CLIP) have demonstrated remarkable success and revolutionized the field of computer vision. These…

3D Semantic Segmentation Point Cloud Segmentation Scene Understanding Segmentation+3

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

2023-01-26 · CVPR 2023 1 · Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra

We propose Cut-and-LEaRn (CutLER), a simple approach for training unsupervised object detection and segmentation models. We leverage the property of self-supervised models to 'discover' objects without supervision and am…

Instance Segmentation object-detection Object Detection Semantic Segmentation+4