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Hyperbolic Contrastive Learning for Visual Representations beyond
  Objects

Hyperbolic Contrastive Learning for Visual Representations beyond Objects

1 December 2022
Songwei Ge
Shlok Kumar Mishra
Simon Kornblith
Chun-Liang Li
David Jacobs
    OCL
    SSL
ArXivPDFHTML

Papers citing "Hyperbolic Contrastive Learning for Visual Representations beyond Objects"

32 / 32 papers shown
Title
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Neil He
Jiahong Liu
Buze Zhang
N. Bui
Ali Maatouk
Menglin Yang
Irwin King
Melanie Weber
Rex Ying
36
0
0
11 Apr 2025
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
Davide Berasi
Matteo Farina
Massimiliano Mancini
Elisa Ricci
Nicola Strisciuglio
CoGe
68
0
0
21 Mar 2025
Hyperbolic Safety-Aware Vision-Language Models
Hyperbolic Safety-Aware Vision-Language Models
Tobia Poppi
Tejaswi Kasarla
Pascal Mettes
Lorenzo Baraldi
Rita Cucchiara
VLM
MU
66
0
0
15 Mar 2025
Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection
Yante Li
Hanwen Qi
Haoyu Chen
Xinlian Liang
Guoying Zhao
48
0
0
01 Mar 2025
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Rongzhen Zhao
V. Wang
Arno Solin
Joni Pajarinen
OCL
VLM
284
0
0
27 Feb 2025
Predicate Hierarchies Improve Few-Shot State Classification
Predicate Hierarchies Improve Few-Shot State Classification
Emily Jin
Joy Hsu
Jiajun Wu
OffRL
79
0
0
18 Feb 2025
Learning Structured Representations with Hyperbolic Embeddings
Learning Structured Representations with Hyperbolic Embeddings
Aditya Sinha
Siqi Zeng
M. Yamada
Han Zhao
93
0
0
02 Dec 2024
Siamese networks for Poincaré embeddings and the reconstruction of
  evolutionary trees
Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees
Ciro Carvallo
Hernán Bocaccio
G. Mindlin
Pablo Groisman
31
0
0
09 Oct 2024
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Avik Pal
Max van Spengler
Guido Maria DÁmely di Melendugno
Alessandro Flaborea
Fabio Galasso
Pascal Mettes
CoGe
50
5
0
09 Oct 2024
A Bottom-Up Approach to Class-Agnostic Image Segmentation
A Bottom-Up Approach to Class-Agnostic Image Segmentation
Sebastian Dille
Ari Blondal
Sylvain Paris
Yağız Aksoy
18
0
0
20 Sep 2024
A Fashion Item Recommendation Model in Hyperbolic Space
A Fashion Item Recommendation Model in Hyperbolic Space
Ryotaro Shimizu
Yu Wang
Masanari Kimura
Yuki Hirakawa
Takashi Wada
Yuki Saito
Julian McAuley
37
3
0
04 Sep 2024
Hyperbolic Learning with Multimodal Large Language Models
Hyperbolic Learning with Multimodal Large Language Models
Paolo Mandica
Luca Franco
Konstantinos Kallidromitis
Suzanne Petryk
Fabio Galasso
44
1
0
09 Aug 2024
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
Xin Yang
Heng Chang
Zhijian Lai
Jinze Yang
Xingrun Li
Yu Lu
Shuaiqiang Wang
Dawei Yin
Erxue Min
35
1
0
25 Jun 2024
Probabilistic Contrastive Learning with Explicit Concentration on the
  Hypersphere
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
H. Li
Ouyang Cheng
Tamaz Amiranashvili
Matthew S. Rosen
Bjoern H. Menze
J. Iglesias
43
0
0
26 May 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and
  Texts
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
Wonjae Kim
Sanghyuk Chun
Taekyung Kim
Dongyoon Han
Sangdoo Yun
47
7
0
26 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
34
1
0
23 Apr 2024
Hyperbolic Learning with Synthetic Captions for Open-World Detection
Hyperbolic Learning with Synthetic Captions for Open-World Detection
Fanjie Kong
Yanbei Chen
Jiarui Cai
Davide Modolo
VLM
ObjD
39
7
0
07 Apr 2024
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning
  for Fine-Grained Datasets
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
T. Doan
Sima Behpour
Xin Li
Wenbin He
Liangke Gou
Liu Ren
VLM
45
1
0
10 Mar 2024
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with
  Contrastive Learning in Multimodal Electronic Health Records
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
Yuqing Wang
Malvika Pillai
Yun Zhao
Catherine M. Curtin
Tina Hernandez-Boussard
27
0
0
01 Feb 2024
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of
  Promises and Challenges
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Noémie Jaquier
Michael C. Welle
A. Gams
Kunpeng Yao
Bernardo Fichera
A. Billard
Aleš Ude
Tamim Asfour
Danica Kragic
38
14
0
29 Nov 2023
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual
  Categorization Targeting Limited Samples
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
Ziye Fang
Xin Jiang
Hao Tang
Zechao Li
30
13
0
10 Nov 2023
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of
  the Same Coin
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
Gabriel Moreira
Manuel Marques
João Paulo Costeira
Alexander Hauptmann
26
4
0
18 Sep 2023
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic
  Distance Enhances Open World Object Detection
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
T. Doan
Xin Li
Sima Behpour
Wenbin He
Liangke Gou
Liu Ren
36
7
0
25 Jun 2023
Structuring Representation Geometry with Rotationally Equivariant
  Contrastive Learning
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Sharut Gupta
Joshua Robinson
Derek Lim
Soledad Villar
Stefanie Jegelka
SSL
29
17
0
24 Jun 2023
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal
  Prototypes
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
A. Durrant
Georgios Leontidis
SSL
38
4
0
18 May 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
45
39
0
11 May 2023
Hyperbolic Image-Text Representations
Hyperbolic Image-Text Representations
Karan Desai
Maximilian Nickel
Tanmay Rajpurohit
Justin Johnson
Ramakrishna Vedantam
VLM
47
57
0
18 Apr 2023
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot
  Image Generation
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation
Ling Li
Yi Zhang
Shuhui Wang
27
16
0
22 Nov 2022
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
26
22
0
01 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,481
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
383
5,818
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
281
3,378
0
09 Mar 2020
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