Shot (pellet)

One-Shot Visual Imitation Learning via Meta-Learning

Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine

Citations: 270 • 2017

Few-Shot Human Motion Prediction via Meta-learning

Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura

Citations: 125 • 2018

VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation

Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, Bernadette Bucher

Citations: 93 • 2024

<i>Can an Embodied Agent Find Your “Cat-shaped Mug”?</i> LLM-Based Zero-Shot Object Navigation

Vishnu Sashank Dorbala, James F. Mullen, Dinesh Manocha

Citations: 70 • 2023

Zero-Shot Anticipation for Instructional Activities

Fadime Şener, Angela Yao

Citations: 57 • 2019

RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot

Haoshu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu

Citations: 55 • 2024

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models

Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su

Citations: 53 • 2023

Recent advances of few-shot learning methods and applications

Jianyuan Wang, Kexin Liu, YuCheng Zhang, Biao Leng, Jinhu Lü

Citations: 47 • 2023

Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill

Wenzhe Cai, Siyuan Huang, Guangran Cheng, Yuxing Long, Peng Gao, Changyin Sun, Hao Dong

Citations: 36 • 2024

Zero-Shot Object Goal Visual Navigation

Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu

Citations: 36 • 2023

Data-efficient multimodal human action recognition for proactive human–robot collaborative assembly: A cross-domain few-shot learning approach

Tianyu Wang, Zhihao Liu, Lihui Wang, Mian Li, Xi Vincent Wang

Citations: 35 • 2024

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin Hasani, Daniela Rus, Radu Grosu

Citations: 35 • 2022

Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation

Zhiying Cao, Tengfei Zhang, Wenhui Diao, Yue Zhang, Kun Fu, Xian Sun

Citations: 34 • 2019

Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues

Evan Krause, Michael Zillich, Thomas Williams, Matthias Scheutz

Citations: 33 • 2014

Archerfish

Stefan Schuster

Citations: 32 • 2007

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

Citations: 32 • 2021

AirDet: Few-Shot Detection Without Fine-Tuning for Autonomous Exploration

Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer

Citations: 31 • 2022

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz

Citations: 31 • 2024

Recognizing temporary construction site objects using CLIP-based few-shot learning and multi-modal prototypes

Yuanchang Liang, Prahlad Vadakkepat, David Kim Huat Chua, Shuyi Wang, Zhigang Li, Shuxiang Zhang

Citations: 28 • 2024

One-shot Learning from Demonstration Approach Toward a Reciprocal Sign Language-based HRI

Seyed Ramezan Hosseini, Alireza Taheri, Minoo Alemi, Ali Meghdari

Citations: 26 • 2021