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

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

8 April 2021

Daniela Massiceti

Matthew Tobias Harris

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

10 / 10 papers shown

Title
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments Yu-Yun Tseng Tanusree Sharma Lotus Zhang Abigale Stangl Leah Findlater Yang Wang Danna Gurari 64 0 0 25 Jul 2024
Helping Visually Impaired People Take Better Quality Pictures Maniratnam Mandal Deepti Ghadiyaram Danna Gurari A. Bovik 11 3 0 14 May 2023
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 Liming Gu Zhixiang Chi Huan Liu Yuanhao Yu Yang Wang 22 5 0 01 Oct 2022
Blind Users Accessing Their Training Images in Teachable Object Recognizers Jonggi Hong Jaina Gandhi Ernest Essuah Mensah Farnaz Zamiri Zeraati Ebrima Jarjue Kyungjun Lee Hernisa Kacorri VLM 10 15 0 16 Aug 2022
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments Yu-Yun Tseng Alexander Bell Danna Gurari 19 8 0 24 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 11 44 0 02 Jul 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard E. Turner 3DH FedML 38 27 0 17 Jun 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 26 36 0 27 May 2022
Fixing the train-test resolution discrepancy: FixEfficientNet Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou AAML 181 110 0 18 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 278 11,677 0 09 Mar 2017