The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

18 April 2024

Papers citing "The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models"

8 / 8 papers shown

Title
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation Cheng Shi Yulin Zhang Bin Yang Jiajin Tang Yuexin Ma Sibei Yang 3DPC 29 1 0 14 Jul 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz X. Wang ViT VLM 175 494 0 22 Feb 2022
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 161 195 0 29 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,108 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 220 698 0 28 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020