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A Self-Supervised Descriptor for Image Copy Detection
v1v2 (latest)

A Self-Supervised Descriptor for Image Copy Detection

Computer Vision and Pattern Recognition (CVPR), 2022
21 February 2022
Ed Pizzi
Sreya . Dutta Roy
Sugosh Nagavara Ravindra
Priya Goyal
Matthijs Douze
    SSL
ArXiv (abs)PDFHTMLGithub (298★)

Papers citing "A Self-Supervised Descriptor for Image Copy Detection"

50 / 117 papers shown
AirSim360: A Panoramic Simulation Platform within Drone View
AirSim360: A Panoramic Simulation Platform within Drone View
Xian Ge
Yuling Pan
Y. Zhang
X. Li
Weijun Zhang
...
Jason Li
Wenjie Jiang
Bo Du
Ming-Hsuan Yang
Lu Qi
VGen
325
5
0
01 Dec 2025
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
Mingue Park
Prin Phunyaphibarn
Phillip Y. Lee
Minhyuk Sung
186
0
0
26 Nov 2025
Generating Synthetic Human Blastocyst Images for In-Vitro Fertilization Blastocyst Grading
Generating Synthetic Human Blastocyst Images for In-Vitro Fertilization Blastocyst Grading
Pavan Narahari
Suraj Rajendran
Lorena Bori
Jonas E. Malmsten
Qiansheng Zhan
Zev Rosenwaks
Nikica Zaninovic
Iman Hajirasouliha
MedIm
222
0
0
22 Nov 2025
FineVision: Open Data Is All You Need
FineVision: Open Data Is All You Need
Luis Wiedmann
Orr Zohar
Amir Mahla
Xiaohan Wang
Rui Li
Thibaud Frere
Leandro von Werra
Aritra Roy Gosthipaty
Andrés Marafioti
VLM
246
21
0
20 Oct 2025
Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection
Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection
Jinseong Park
Mijung Park
DiffMMU
312
0
0
20 Oct 2025
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han
Sehwan Kim
Hyungjun Joo
Sangwoo Hong
Jungwoo Lee
DiffM
226
3
0
08 Oct 2025
Diverse Text-to-Image Generation via Contrastive Noise Optimization
Diverse Text-to-Image Generation via Contrastive Noise Optimization
Byungjun Kim
Soobin Um
Jong Chul Ye
211
1
0
04 Oct 2025
How Diffusion Models Memorize
How Diffusion Models Memorize
Juyeop Kim
Songkuk Kim
Jong-Seok Lee
DiffM
178
4
0
30 Sep 2025
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
Antonio Scardace
Lemuel Puglisi
Francesco Guarnera
Sebastiano Battiato
D. Ravì
MedIm
306
0
0
20 Sep 2025
ReTrack: Data Unlearning in Diffusion Models through Redirecting the Denoising Trajectory
ReTrack: Data Unlearning in Diffusion Models through Redirecting the Denoising Trajectory
Qitan Shi
Cheng Jin
Jiawei Zhang
Yuantao Gu
MU
207
1
0
16 Sep 2025
Local Density-Based Anomaly Score Normalization for Domain Generalization
Local Density-Based Anomaly Score Normalization for Domain Generalization
Kevin Wilkinghoff
Haici Yang
Janek Ebbers
François Germain
Gordon Wichern
Jonathan Le Roux
338
5
0
13 Sep 2025
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
Zhipeng Yin
Sribala Vidyadhari Chinta
Avash Palikhe
Zhen Liu
Jun Liu
Wenbin Zhang
204
6
0
31 Aug 2025
Localizing and Mitigating Memorization in Image Autoregressive Models
Localizing and Mitigating Memorization in Image Autoregressive Models
Aditya Kasliwal
Franziska Boenisch
Adam Dziedzic
217
1
0
30 Aug 2025
On the Edge of Memorization in Diffusion Models
On the Edge of Memorization in Diffusion Models
Sam Buchanan
Druv Pai
Yi-An Ma
Valentin De Bortoli
TDI
343
10
0
25 Aug 2025
Demystifying Foreground-Background Memorization in Diffusion Models
Demystifying Foreground-Background Memorization in Diffusion Models
Jimmy Z. Di
Yiwei Lu
Yaoliang Yu
Gautam Kamath
Adam Dziedzic
Franziska Boenisch
DiffM
212
1
0
16 Aug 2025
LeakyCLIP: Extracting Training Data from CLIP
LeakyCLIP: Extracting Training Data from CLIP
Yunhao Chen
S. Wang
Xin Wang
Jiabo He
376
2
0
01 Aug 2025
Identifying Prompted Artist Names from Generated Images
Identifying Prompted Artist Names from Generated Images
Grace Su
Sheng-Yu Wang
Aaron Hertzmann
Eli Shechtman
Jun-Yan Zhu
Richard Zhang
VLM
300
0
0
24 Jul 2025
EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations
EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations
Ruijie Yang
Yan Zhu
Peiyao Fu
Yizhe Zhang
Zhihua Wang
Cunliang Kong
Pinghong Zhou
Xian Yang
Shuo Wang
MedIm
208
0
0
23 Jul 2025
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Not Local
Finding Dori: Memorization in Text-to-Image Diffusion Models Is Not Local
Antoni Kowalczuk
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
Adam Dziedzic
Franziska Boenisch
DiffM
361
1
0
22 Jul 2025
Generative Modeling of Weights: Generalization or Memorization?
Generative Modeling of Weights: Generalization or Memorization?
Boya Zeng
Yida Yin
Zhiqiu Xu
Zhuang Liu
DiffM
374
5
0
09 Jun 2025
FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings
FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings
Jingqi Xu
Chenghao Li
Yuke Zhang
Peter A. Beerel
DiffM
237
0
0
28 May 2025
HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
Qi Cai
Jingwen Chen
Yang Chen
Yehao Li
Fuchen Long
...
Rui Tian
Siyu Wang
Bo Zhao
Ting Yao
Tao Mei
VLM
277
101
0
28 May 2025
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models
Alessandro Favero
Antonio Sclocchi
Matthieu Wyart
DiffM
419
16
0
22 May 2025
Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records
Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy RecordsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yili He
Yan Zhu
Peiyao Fu
Ruijie Yang
Tianyi Chen
Zhihua Wang
Quanlin Li
Pinghong Zhou
Xiaoyu Yang
Shuo Wang
MedImVLM
261
1
0
14 May 2025
Safer Prompts: Reducing Risks from Memorization in Visual Generative AI
Safer Prompts: Reducing Risks from Memorization in Visual Generative AI
Lena Reissinger
Yuanyuan Li
Anna-Carolina Haensch
Neeraj Sarna
272
1
0
06 May 2025
Using Knowledge Graphs to harvest datasets for efficient CLIP model training
Using Knowledge Graphs to harvest datasets for efficient CLIP model training
Simon Ging
Sebastian Walter
Jelena Bratulić
Johannes Dienert
Hannah Bast
Thomas Brox
CLIP
425
0
0
05 May 2025
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Chong Chen
Daochang Liu
M. Shah
Chang Xu
345
8
0
25 Apr 2025
SkyReels-V2: Infinite-length Film Generative Model
SkyReels-V2: Infinite-length Film Generative Model
Guibin Chen
D. Lin
Jiangping Yang
Chunze Lin
J. Zhu
...
Di Qiu
Debang Li
Zhengcong Fei
Yang Li
Yahui Zhou
DiffMVGen
629
117
0
17 Apr 2025
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
Dilxat Muhtar
Enzhuo Zhang
Zhenshi Li
Feng-Xue Gu
Yanglangxing He
Pengfeng Xiao
Xueliang Zhang
372
12
0
02 Mar 2025
Data Unlearning in Diffusion Models
Data Unlearning in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025
Silas Alberti
Kenan Hasanaliyev
Manav Shah
Stefano Ermon
DiffMMU
290
14
0
02 Mar 2025
SolidMark: Evaluating Image Memorization in Generative Models
SolidMark: Evaluating Image Memorization in Generative Models
Nicky Kriplani
Minh Pham
Gowthami Somepalli
Chinmay Hegde
Niv Cohen
VLM
495
4
0
01 Mar 2025
Machine learning and high dimensional vector search
Machine learning and high dimensional vector searchIEEE Data Engineering Bulletin (DEB), 2025
Matthijs Douze
401
1
0
24 Feb 2025
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
Shunchang Liu
Zhuan Shi
Lingjuan Lyu
Yaochu Jin
Boi Faltings
479
5
0
21 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy?
Does Training with Synthetic Data Truly Protect Privacy?International Conference on Learning Representations (ICLR), 2025
Yunpeng Zhao
Jie Zhang
369
10
0
18 Feb 2025
Semantic to Structure: Learning Structural Representations for Infringement Detection
Semantic to Structure: Learning Structural Representations for Infringement DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Chuanwei Huang
Zexi Jia
Hongyan Fei
Yeshuang Zhu
Zhiqiang Yuan
Jinchao Zhang
Jie Zhou
DiffM
267
6
0
11 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
725
9
0
09 Feb 2025
Counteracting temporal attacks in Video Copy Detection
Counteracting temporal attacks in Video Copy Detection
Katarzyna Fojcik
Piotr Syga
AAML
333
0
0
19 Jan 2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Daniel de Souza Severo
Giuseppe Ottaviano
Matthew Muckley
Karen Ullrich
Matthijs Douze
MQ
341
1
0
16 Jan 2025
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
Anand Kumar
Jiteng Mu
Nuno Vasconcelos
DiffM
567
2
0
19 Dec 2024
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained
  Ego-Motion, Object Dynamics, and Scene Composition Control
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition ControlComputer Vision and Pattern Recognition (CVPR), 2024
Mariam Hassan
Sebastian Stapf
Ahmad Rahimi
Pedro M B Rezende
Yasaman Haghighi
...
Mathieu Salzmann
Davide Scaramuzza
Marc Pollefeys
Paolo Favaro
Alexandre Alahi
VLMVGen
384
56
0
15 Dec 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
Chenghao Li
Yuke Zhang
Dake Chen
Jingqi Xu
Peter A. Beerel
405
2
0
02 Dec 2024
CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks
CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks
Zhixiang Guo
Yaning Tan
Aishan Liu
Dacheng Tao
AAML
542
4
0
02 Dec 2024
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
Classifier-Free Guidance inside the Attraction Basin May Cause MemorizationComputer Vision and Pattern Recognition (CVPR), 2024
Anubhav Jain
Yuya Kobayashi
Takashi Shibuya
Yuhta Takida
N. Memon
Julian Togelius
Yuki Mitsufuji
DiffM
464
10
0
23 Nov 2024
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Wenhao Wang
Yue Yang
VGen
377
7
0
05 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models
A Geometric Framework for Understanding Memorization in Generative ModelsInternational Conference on Learning Representations (ICLR), 2024
Brendan Leigh Ross
Hamidreza Kamkari
Tongzi Wu
Rasa Hosseinzadeh
Zhaoyan Liu
George Stein
Jesse C. Cresswell
Gabriel Loaiza-Ganem
565
33
0
31 Oct 2024
Investigating Memorization in Video Diffusion Models
Investigating Memorization in Video Diffusion Models
Chong Chen
Enhuai Liu
Daochang Liu
M. Shah
Chang Xu
VGenDiffM
457
3
0
29 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Exploring Local Memorization in Diffusion Models via Bright Ending AttentionInternational Conference on Learning Representations (ICLR), 2024
Chong Chen
Daochang Liu
M. Shah
Chang Xu
551
16
0
29 Oct 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership
  Inference Attacks through Disjoint Data Splitting
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
Bao Q. Tran
Viet Anh Nguyen
Anh Tran
Toan M. Tran
468
2
0
22 Oct 2024
Towards a Theoretical Understanding of Memorization in Diffusion Models
Towards a Theoretical Understanding of Memorization in Diffusion Models
Yunhao Chen
Xingjun Ma
Difan Zou
Yu-Gang Jiang
DiffM
462
0
0
03 Oct 2024
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
Xiaoyu Wu
Jiaru Zhang
Steven Wu
532
2
0
03 Oct 2024
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