The role of one-shot learning in # TheDress

被引:16
|
作者
Daoudi, Leila Drissi [1 ]
Doerig, Adrien [1 ]
Parkosadze, Khatuna [2 ]
Kunchulia, Marina [2 ]
Herzog, Michael H. [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Lab Psychophys, Brain Mind Inst, Lausanne, Switzerland
[2] Agr Univ Georgia, Inst Cognit Neurosci, Tbilisi, Georgia
来源
JOURNAL OF VISION | 2017年 / 17卷 / 03期
基金
瑞士国家科学基金会;
关键词
the dress; contextual processing; one-shot learning; color constancy; COLOR-PERCEPTION;
D O I
10.1167/17.3.15
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
#TheDress is remarkable in two aspects. First, there is a bimodal split of the population in the perception of the dress's colors (white/gold vs. black/blue). Second, whereas interobserver variance is high, intra-observer variance is low, i. e., the percept rarely switches in a given individual. There are two plausible routes of explanations: either one-shot learning during the first presentation of the image splits observers into two different, stable populations, or the differences are caused by stable traits of observers, such as different visual systems. Here, we hid large parts of the image by white occluders. The majority of naive participants perceived the dress as black and blue. With black occluders, the majority of observers perceived the dress as white and gold. The percept did not change when we subsequently presented the full image, arguing for a crucial role of one-shot learning. Next, we investigated whether the first fixation determines the perceived color in naive observers. We found no such effect. It remains thus a puzzling question where the source of variability in the different percepts comes from.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] One-Shot Decoupling
    Dupuis, Frederic
    Berta, Mario
    Wullschleger, Juerg
    Renner, Renato
    COMMUNICATIONS IN MATHEMATICAL PHYSICS, 2014, 328 (01) : 251 - 284
  • [42] MIGHTY ONE-SHOT
    COPP, RM
    HYDRAULICS & PNEUMATICS, 1972, 25 (10) : 94 - &
  • [43] One-shot analysis
    Etienne Cuche
    Yves Emery
    Frédéric Montfort
    Nature Photonics, 2009, 3 : 633 - 635
  • [44] One-shot learning goes 3D
    Zhao, Zijian
    Deng, Shan
    Jiang, Zhouhang
    Ni, Kai
    NATURE ELECTRONICS, 2021, 4 (12) : 866 - 867
  • [45] Is one-shot learning a viable option in drug discovery?
    Baskin, Igor I.
    EXPERT OPINION ON DRUG DISCOVERY, 2019, 14 (07) : 601 - 603
  • [46] Low Data Drug Discovery with One-Shot Learning
    Altae-Tran, Han
    Ramsundar, Bharath
    Pappu, Aneesh S.
    Pande, Vijay
    ACS CENTRAL SCIENCE, 2017, 3 (04) : 283 - 293
  • [47] One-Shot Image Classification by Learning to Restore Prototypes
    Xue, Wanqi
    Wang, Wei
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 6558 - 6565
  • [48] One-Shot Imitation Learning: A Pose Estimation Perspective
    Vitiello, Pietro
    Dreczkowski, Kamil
    Johns, Edward
    CONFERENCE ON ROBOT LEARNING, VOL 229, 2023, 229
  • [49] One-Shot Face Recognition via Generative Learning
    Ding, Zhengming
    Guo, Yandong
    Zhang, Lei
    Fu, Yun
    PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018), 2018, : 1 - 7
  • [50] ONE-SHOT HARRY
    Weinman, Sarah
    NEW YORK TIMES BOOK REVIEW, 2022, 127 : 7 - 7