ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.10144
  4. Cited By
The developmental trajectory of object recognition robustness: children
  are like small adults but unlike big deep neural networks

The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks

20 May 2022
Lukas Huber
Robert Geirhos
Felix Wichmann
ArXivPDFHTML

Papers citing "The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks"

11 / 11 papers shown
Title
The BabyView dataset: High-resolution egocentric videos of infants' and
  young children's everyday experiences
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences
Bria Long
Violet Xiang
Stefan Stojanov
Robert Z. Sparks
Zi Yin
...
Steven Y. Feng
Chengxu Zhuang
V. Marchman
Daniel L. K. Yamins
Michael C. Frank
VGen
EgoV
30
2
0
14 Jun 2024
Comparing supervised learning dynamics: Deep neural networks match human
  data efficiency but show a generalisation lag
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag
Lukas Huber
Fred W. Mast
Felix A. Wichmann
28
0
0
14 Feb 2024
The Acquisition of Physical Knowledge in Generative Neural Networks
The Acquisition of Physical Knowledge in Generative Neural Networks
Luca M. Schulze Buschoff
Eric Schulz
Marcel Binz
AI4CE
10
5
0
30 Oct 2023
Getting aligned on representational alignment
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas L. Griffiths
61
74
0
18 Oct 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Felix Wichmann
Robert Geirhos
32
25
0
26 May 2023
Learning high-level visual representations from a child's perspective
  without strong inductive biases
Learning high-level visual representations from a child's perspective without strong inductive biases
A. Orhan
Brenden Lake
SSL
24
18
0
24 May 2023
Learning cortical representations through perturbed and adversarial
  dreaming
Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
GAN
CLL
52
21
0
09 Sep 2021
Bridging Imagination and Reality for Model-Based Deep Reinforcement
  Learning
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
Guangxiang Zhu
Minghao Zhang
Honglak Lee
Chongjie Zhang
OffRL
71
17
0
23 Oct 2020
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1