Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping
through Zero-shot Foundation Models

Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models

19 April 2024

Leonardo Barcellona

Alberto Bacchin

Matteo Terreran

Emanuele Menegatti

Stefano Ghidoni

Papers citing "Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models"

8 / 8 papers shown

Title
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation Bohao Peng Zhuotao Tian Xiaoyang Wu Chenyao Wang Shu Liu Jingyong Su Jiaya Jia 53 71 0 26 Mar 2023
End-to-End Affordance Learning for Robotic Manipulation Yiran Geng Boshi An Haoran Geng Yuanpei Chen Yaodong Yang Hao Dong 68 59 0 26 Sep 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli D. Fox LM&Ro 163 457 0 12 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 171 173 0 06 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 326 5,785 0 29 Apr 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 177 187 0 11 Dec 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 309 75,834 0 18 May 2015