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DeepUSPS: Deep Robust Unsupervised Saliency Prediction With
  Self-Supervision

DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision

28 September 2019
D. Nguyen
Maximilian Dax
Chaithanya Kumar Mummadi
Thi Phuong Nhung Ngo
T. Nguyen
Zhongyu Lou
Thomas Brox
ArXivPDFHTML

Papers citing "DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision"

16 / 16 papers shown
Title
Removing supervision in semantic segmentation with local-global matching
  and area balancing
Removing supervision in semantic segmentation with local-global matching and area balancing
Simone Rossetti
Nico Sama
F. Pirri
VLM
32
0
0
30 Mar 2023
Unsupervised Object Localization: Observing the Background to Discover
  Objects
Unsupervised Object Localization: Observing the Background to Discover Objects
Oriane Siméoni
Chloé Sekkat
Gilles Puy
Antonín Vobecký
Éloi Zablocki
Patrick Pérez
OCL
SSL
28
51
0
15 Dec 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in
  Pathology Images
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
Jiawei Yang
Hanbo Chen
Yuan Liang
Junzhou Huang
Lei He
Jianhua Yao
40
18
0
14 Jul 2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric
  Representations
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk
Matthaeus Kleindessner
Yi Zhu
Francesco Locatello
Thomas Brox
22
49
0
11 Jul 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
28
159
0
16 May 2022
Learning from Pixel-Level Noisy Label : A New Perspective for Light
  Field Saliency Detection
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
Mingtao Feng
Li-Yu Daisy Liu
Liangkai Zhang
Hongshan Yu
Yaonan Wang
Ajmal Saeed Mian
14
18
0
28 Apr 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
76
81
0
13 Jan 2022
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback
  Convolutional Networks
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
Guanqun Ding
Nevrez Imamoglu
Ali Caglayan
M. Murakawa
Ryosuke Nakamura
28
24
0
07 Dec 2021
Activation to Saliency: Forming High-Quality Labels for Completely
  Unsupervised Salient Object Detection
Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection
Huajun Zhou
Peijia Chen
Lingxiao Yang
Jianhuang Lai
Xiaohua Xie
22
0
0
07 Dec 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object
  Segmentation
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
Laurynas Karazija
Iro Laina
Christian Rupprecht
3DV
VOS
27
84
0
19 Nov 2021
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos
Runtao Liu
Zhirong Wu
Stella X. Yu
Stephen Lin
VOS
30
51
0
11 Nov 2021
Salient Objects in Clutter
Salient Objects in Clutter
Deng-Ping Fan
Jing Zhang
Gang Xu
Mingg-Ming Cheng
Ling Shao
34
42
0
07 May 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
29
9
0
23 Mar 2021
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating
  Back-Propagation for Saliency Detection
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Jing Zhang
Jianwen Xie
Nick Barnes
NoLa
50
57
0
23 Jul 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
24
56
0
14 Apr 2020
SELF: Learning to Filter Noisy Labels with Self-Ensembling
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Philipp Kratzer
Marc Toussaint
Thi Phuong Nhung Ngo
T. Nguyen
Jim Mainprice
Thomas Brox
NoLa
28
308
0
04 Oct 2019
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