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Capturing the objects of vision with neural networks

Capturing the objects of vision with neural networks

7 September 2021
B. Peters
N. Kriegeskorte
    OCL
ArXivPDFHTML

Papers citing "Capturing the objects of vision with neural networks"

19 / 19 papers shown
Title
Object-Centric Pretraining via Target Encoder Bootstrapping
Object-Centric Pretraining via Target Encoder Bootstrapping
Nikola Đukić
Tim Lebailly
Tinne Tuytelaars
OCL
58
0
0
19 Mar 2025
Object-centric proto-symbolic behavioural reasoning from pixels
Object-centric proto-symbolic behavioural reasoning from pixels
R. S. V. Bergen
Justus F. Hübotter
Pablo Lanillos
LM&Ro
OCL
70
0
0
26 Nov 2024
Lightweight, error-tolerant edge detection using memristor-enabled
  stochastic logics
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics
Lekai Song
Pengyu Liu
Jingfang Pei
Yang Liu
Songwei Liu
...
Leonard W. T. Ng
Tawfique Hasan
Kong-Pang Pun
Shuo Gao
Guohua Hu
28
0
0
25 Feb 2024
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIP
MedIm
LM&MA
VLM
18
43
0
12 Dec 2023
Neither hype nor gloom do DNNs justice
Neither hype nor gloom do DNNs justice
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
11
114
0
08 Dec 2023
Regularity as Intrinsic Reward for Free Play
Regularity as Intrinsic Reward for Free Play
Cansu Sancaktar
J. Piater
Georg Martius
23
0
0
03 Dec 2023
Modeling Programmer Attention as Scanpath Prediction
Modeling Programmer Attention as Scanpath Prediction
Aakash Bansal
Chia-Yi Su
Z. Karas
Yi-Fei Zhang
Yu Huang
Toby Jia-Jun Li
Collin McMillan
19
6
0
26 Aug 2023
Implicit Regularization in Feedback Alignment Learning Mechanisms for
  Neural Networks
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
Zachary Robertson
Oluwasanmi Koyejo
15
0
0
02 Jun 2023
Affinity-based Attention in Self-supervised Transformers Predicts
  Dynamics of Object Grouping in Humans
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
Hossein Adeli
Seoyoung Ahn
N. Kriegeskorte
G. Zelinsky
ViT
14
5
0
01 Jun 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
19
25
0
26 May 2023
Provably Learning Object-Centric Representations
Provably Learning Object-Centric Representations
Jack Brady
Roland S. Zimmermann
Yash Sharma
Bernhard Schölkopf
Julius von Kügelgen
Wieland Brendel
OCL
19
31
0
23 May 2023
Learning to reason over visual objects
Learning to reason over visual objects
S. S. Mondal
Taylor W. Webb
Jonathan D. Cohen
OCL
19
28
0
03 Mar 2023
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded
  Image Recognition
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition
Jiahong Zhang
Lihong Cao
Qiuxia Lai
Binyao Li
Yunxiao Qin
19
4
0
02 Mar 2023
Breaking the "Object" in Video Object Segmentation
Breaking the "Object" in Video Object Segmentation
P. Tokmakov
Jie Li
Adrien Gaidon
VOS
16
39
0
12 Dec 2022
Self-supervised Amodal Video Object Segmentation
Self-supervised Amodal Video Object Segmentation
Jian Yao
Yuxin Hong
Chiyu Wang
Tianjun Xiao
Tong He
Francesco Locatello
David Wipf
Yanwei Fu
Zheng-Wei Zhang
VOS
25
13
0
23 Oct 2022
Object-based active inference
Object-based active inference
R. S. V. Bergen
Pablo Lanillos
OCL
AI4CE
15
5
0
02 Sep 2022
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
221
252
0
09 Dec 2020
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
116
302
0
11 Jun 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
893
0
11 Nov 2017
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