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Unsupervised Deep Metric Learning with Transformed Attention Consistency
  and Contrastive Clustering Loss

Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss

10 August 2020
Yongqian Li
Shichao Kan
Zhihai He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss"

14 / 14 papers shown
Title
Multi-view Action Recognition via Directed Gromov-Wasserstein
  Discrepancy
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
Hoang-Quan Nguyen
Thanh-Dat Truong
Khoa Luu
89
1
0
02 May 2024
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive
  Deep Metric Learning
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
Hossein Rajoli
Sahand Khoshdel
Fatemeh Afghah
Xiaolong Ma
65
1
0
09 Apr 2024
Piecewise-Linear Manifolds for Deep Metric Learning
Piecewise-Linear Manifolds for Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
123
4
0
22 Mar 2024
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
Daniel Silver
Tirthak Patel
Aditya Ranjan
Harshitta Gandhi
William Cutler
Devesh Tiwari
74
5
0
26 Sep 2023
Unicom: Universal and Compact Representation Learning for Image
  Retrieval
Unicom: Universal and Compact Representation Learning for Image Retrieval
Xiang An
Jiankang Deng
Kaicheng Yang
Jaiwei Li
Ziyong Feng
Jia Guo
Jing Yang
Tongliang Liu
VLMSSL
97
28
0
12 Apr 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MUAI4TS
103
2
0
23 Mar 2023
Hub-VAE: Unsupervised Hub-based Regularization of Variational
  Autoencoders
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders
Priya Mani
C. Domeniconi
BDLSSLDRL
75
1
0
18 Nov 2022
ATCON: Attention Consistency for Vision Models
ATCON: Attention Consistency for Vision Models
Ali Mirzazadeh
Florian Dubost
M. Pike
Krish Maniar
Max Zuo
Christopher Lee-Messer
D. Rubin
35
1
0
18 Oct 2022
Self-Taught Metric Learning without Labels
Self-Taught Metric Learning without Labels
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
SSL
105
21
0
04 May 2022
Integrating Language Guidance into Vision-based Deep Metric Learning
Integrating Language Guidance into Vision-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
VLM
55
29
0
16 Mar 2022
DeepDiffusion: Unsupervised Learning of Retrieval-adapted
  Representations via Diffusion-based Ranking on Latent Feature Manifold
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold
T. Furuya
Ryutarou Ohbuchi
DiffM
76
1
0
14 Dec 2021
A Tale of Color Variants: Representation and Self-Supervised Learning in
  Fashion E-Commerce
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
U. Dutta
Sandeep Repakula
Maulik Parmar
Abhinav Ravi
OOD
145
3
0
06 Dec 2021
Color Variants Identification in Fashion e-commerce via Contrastive
  Self-Supervised Representation Learning
Color Variants Identification in Fashion e-commerce via Contrastive Self-Supervised Representation Learning
U. Dutta
Sandeep Repakula
Maulik Parmar
Abhinav Ravi
SSL
31
0
0
17 Apr 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
101
196
0
30 Mar 2021
1