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ImageNet Large Scale Visual Recognition Challenge

ImageNet Large Scale Visual Recognition Challenge

1 September 2014
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
Sean Ma
Zhiheng Huang
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
    VLM
    ObjD
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Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 6,435 papers shown
Title
MorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attacks
MorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attacks
Iurii Medvedev
Nuno Gonçalves
AAML
CVBM
37
0
0
15 May 2025
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
28
0
0
15 May 2025
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
Francesco Diana
André Nusser
Chuan Xu
Giovanni Neglia
19
0
0
15 May 2025
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes
Tushar Kataria
Shireen Elhabian
21
0
0
14 May 2025
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
Ruixiao Shi
Fu Feng
Yucheng Xie
Jing Wang
Xin Geng
19
0
0
13 May 2025
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Hyowon Wi
Jeongwhan Choi
Noseong Park
23
0
0
13 May 2025
A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
Karahan Sarıtaş
Çağatay Yıldız
29
0
0
12 May 2025
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via D\mathbf{\texttt{D}}Dual-H\mathbf{\texttt{H}}Head O\mathbf{\texttt{O}}Optimization
Seongjae Kang
Dong Bok Lee
Hyungjoon Jang
Sung Ju Hwang
VLM
49
0
0
12 May 2025
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
Xia Du
Jiajie Zhu
Jizhe Zhou
Chi-Man Pun
Zheng Lin
Cong Wu
Z. Chen
Jun-Jie Luo
AAML
26
0
0
11 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz
Julia E. Vogt
29
0
0
09 May 2025
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
Jingrui He
Andrew Stephen McGough
CVBM
GAN
55
0
0
09 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah
Tao Huang
Ickjai Lee
E. Ahn
MedIm
21
0
0
09 May 2025
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Xi Yang
Songsong Duan
Nannan Wang
Xinbo Gao
WSOL
73
0
0
08 May 2025
Visual Affordances: Enabling Robots to Understand Object Functionality
Visual Affordances: Enabling Robots to Understand Object Functionality
Tommaso Apicella
Alessio Xompero
Andrea Cavallaro
41
0
0
08 May 2025
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
95
0
0
08 May 2025
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Sriram Mandalika
Harsha Vardhan
Athira Nambiar
VLM
58
0
0
07 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
38
0
0
07 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
Lukas Meiner
Jens Mehnert
A. P. Condurache
MQ
42
0
0
06 May 2025
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
OODD
VLM
32
0
0
05 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
22
0
0
05 May 2025
Deep Representation Learning for Electronic Design Automation
Deep Representation Learning for Electronic Design Automation
Pratik Shrestha
Saran Phatharodom
Alec Aversa
David Blankenship
Zhengfeng Wu
Ioannis Savidis
22
0
0
04 May 2025
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
Yi-Ming Zhai
Chuan-Xian Ren
Hong Yan
49
0
0
03 May 2025
OODTE: A Differential Testing Engine for the ONNX Optimizer
OODTE: A Differential Testing Engine for the ONNX Optimizer
Nikolaos Louloudakis
Ajitha Rajan
32
0
0
03 May 2025
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
Zhiyu Zhu
Jiayu Zhang
Zhibo Jin
Fang Chen
Jianlong Zhou
FAtt
19
0
0
03 May 2025
Contextures: Representations from Contexts
Contextures: Representations from Contexts
Runtian Zhai
Kai Yang
Che-Ping Tsai
Burak Varici
Zico Kolter
Pradeep Ravikumar
101
0
0
02 May 2025
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Daniele Molino
Francesco Di Feola
Linlin Shen
Paolo Soda
V. Guarrasi
MedIm
LM&MA
62
0
0
02 May 2025
Generative diffusion model surrogates for mechanistic agent-based biological models
Generative diffusion model surrogates for mechanistic agent-based biological models
Tien Comlekoglu
J. Q. Toledo-Marín
Douglas W. DeSimone
Shayn M. Peirce
Geoffrey C. Fox
J. Glazier
DiffM
MedIm
40
1
0
01 May 2025
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
Kwon Byung-Ki
Qi Dai
Lee Hyoseok
Chong Luo
Tae-Hyun Oh
64
0
0
01 May 2025
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
Kola Ayonrinde
Louis Jaburi
MILM
84
1
0
01 May 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
J. Wang
Tianci Luo
Yaohua Zha
Yan Feng
Ruisheng Luo
B. Chen
Tao Dai
Long Chen
Yaowei Wang
Shu-Tao Xia
VLM
57
0
0
30 Apr 2025
Learning to Borrow Features for Improved Detection of Small Objects in Single-Shot Detectors
Learning to Borrow Features for Improved Detection of Small Objects in Single-Shot Detectors
Richard Schmit
ObjD
90
0
0
30 Apr 2025
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Quentin Guimard
Moreno DÍncà
Massimiliano Mancini
Elisa Ricci
SSL
72
0
0
29 Apr 2025
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
S. Dell’Anna
Andrea Montibeller
Giulia Boato
57
0
0
29 Apr 2025
Neural network task specialization via domain constraining
Neural network task specialization via domain constraining
Roman Malashin
Daniil Ilyukhin
49
0
0
28 Apr 2025
Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
Han Chen
Anne L. Martel
54
0
0
28 Apr 2025
Fast and Robust Speckle Pattern Authentication by Scale Invariant Feature Transform algorithm in Physical Unclonable Functions
Fast and Robust Speckle Pattern Authentication by Scale Invariant Feature Transform algorithm in Physical Unclonable Functions
G. Lio
Mauro Daniel Luigi Bruno
F. Riboli
S. Nocentini
Antonio Ferraro
54
0
0
28 Apr 2025
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
Nikolaos Chaidos
Angeliki Dimitriou
Nikolaos Spanos
Athanasios Voulodimos
Giorgos Stamou
35
1
0
28 Apr 2025
Swapped Logit Distillation via Bi-level Teacher Alignment
Swapped Logit Distillation via Bi-level Teacher Alignment
Stephen Ekaputra Limantoro
Jhe-Hao Lin
Chih-Yu Wang
Yi-Lung Tsai
Hong-Han Shuai
Ching-Chun Huang
Wen-Huang Cheng
49
0
0
27 Apr 2025
Leveraging Multi-Modal Saliency and Fusion for Gaze Target Detection
Leveraging Multi-Modal Saliency and Fusion for Gaze Target Detection
Athul M. Mathew
Arshad Ali Khan
Thariq Khalid
Faroq AL-Tam
R. Souissi
82
1
0
27 Apr 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Silvia Ingala
Kenny Erleben
M. Nielsen
S. Darkner
49
0
0
27 Apr 2025
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
David Aparco-Cardenas
Jancarlo F. Gomes
Alexandre X. Falcão
Pedro J. de Rezende
41
0
0
25 Apr 2025
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Patrick Müller
Alexander Braun
M. Keuper
52
0
0
25 Apr 2025
A Decade of You Only Look Once (YOLO) for Object Detection
A Decade of You Only Look Once (YOLO) for Object Detection
Leo Thomas Ramos
Angel D. Sappa
66
0
0
24 Apr 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
Yinqi Li
Hong Chang
Ruibing Hou
Shiguang Shan
Xilin Chen
DiffM
52
0
0
24 Apr 2025
TableCenterNet: A one-stage network for table structure recognition
TableCenterNet: A one-stage network for table structure recognition
Anyi Xiao
Cihui Yang
LMTD
42
0
0
24 Apr 2025
A Genealogy of Multi-Sensor Foundation Models in Remote Sensing
A Genealogy of Multi-Sensor Foundation Models in Remote Sensing
Kevin Lane
Morteza Karimzadeh
38
0
0
24 Apr 2025
Hyper-Transforming Latent Diffusion Models
Hyper-Transforming Latent Diffusion Models
I. Peis
Batuhan Koyuncu
Isabel Valera
J. Frellsen
29
0
0
23 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
Meixi Zheng
Kehan Wu
Yanbo Fan
Rui Huang
Baoyuan Wu
AAML
32
0
0
23 Apr 2025
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
Felix Kares
Timo Speith
Hanwei Zhang
Markus Langer
FAtt
XAI
38
0
0
23 Apr 2025
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
Xuyang Zhong
Haochen Luo
Chen Liu
MU
25
0
0
22 Apr 2025
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