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Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering
  of Layer-Distributed Neural Representations

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

11 December 2023
Xiao Zhang
David Yunis
Michael Maire
ArXivPDFHTML

Papers citing "Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations"

16 / 16 papers shown
Title
Beyond Surface Statistics: Scene Representations in a Latent Diffusion
  Model
Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
Yida Chen
Fernanda Viégas
Martin Wattenberg
DiffM
41
24
0
09 Jun 2023
Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Hyun Seok Seong
WonJun Moon
Subeen Lee
Jae-Pil Heo
ViT
97
32
0
27 Mar 2023
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
240
526
0
06 Dec 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and
  Equivariance in Clustering
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho
Utkarsh Mall
Kavita Bala
B. Hariharan
59
194
0
30 Mar 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
436
3,397
0
09 Mar 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
143
12,007
0
13 Nov 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
522
10,500
0
12 Dec 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
76
846
0
17 Jul 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
192
4,928
0
02 Nov 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
828
11,540
0
06 Apr 2016
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
49
232
0
23 Nov 2015
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep
  Object Features and its Applications to High-Level Vision
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
55
167
0
23 Apr 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
298
10,034
0
10 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
208
4,653
0
21 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
211
14,831
1
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
397
16,962
0
20 Dec 2013
1