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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 38,261 papers shown
Title
An Effective End-to-End Solution for Multimodal Action Recognition
Songping Wang
Xiantao Hu
Yueming Lyu
Caifeng Shan
62
0
0
11 Jun 2025
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator
Wenlong Hou
Guangqian Yang
Ye Du
Yeung Lau
Lihao Liu
Junjun He
Ling Long
Shujun Wang
26
0
0
11 Jun 2025
Vision Generalist Model: A Survey
Vision Generalist Model: A Survey
Ziyi Wang
Yongming Rao
Shuofeng Sun
Xinrun Liu
Yi Wei
...
Zuyan Liu
Yanbo Wang
Hongmin Liu
Jie Zhou
Jiwen Lu
65
0
0
11 Jun 2025
GLD-Road:A global-local decoding road network extraction model for remote sensing images
Ligao Deng
Yupeng Deng
Yu Meng
Jingbo Chen
Zhihao Xi
Diyou Liu
Qifeng Chu
64
0
0
11 Jun 2025
DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection
DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection
Tina Behrouzi
S. Tonekaboni
Rahul G. Krishnan
Anna Goldenberg
44
0
0
11 Jun 2025
Attention, Please! Revisiting Attentive Probing for Masked Image Modeling
Attention, Please! Revisiting Attentive Probing for Masked Image Modeling
Bill Psomas
Dionysis Christopoulos
Eirini Baltzi
Ioannis Kakogeorgiou
Tilemachos Aravanis
N. Komodakis
Konstantinos Karantzalos
Yannis Avrithis
Giorgos Tolias
61
0
0
11 Jun 2025
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers
Natanael Lucena
Fábio S. da Silva
Ricardo Rios
ViTMedIm
62
0
0
11 Jun 2025
Scaling Laws for Uncertainty in Deep Learning
Mattia Rosso
Simone Rossi
Giulio Franzese
Markus Heinonen
Maurizio Filippone
BDLUQCV
87
0
0
11 Jun 2025
Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Achim Hekler
Lukas Kuhn
Florian Buettner
UQCV
77
0
0
11 Jun 2025
Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning
Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning
Haruki Kainuma
Takayuki Nishio
FedML
73
0
0
11 Jun 2025
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Kaiyu Guo
Zijian Wang
Tan Pan
Brian C. Lovell
Mahsa Baktashmotlagh
OODD
96
0
0
11 Jun 2025
Canonical Latent Representations in Conditional Diffusion Models
Yitao Xu
Tong Zhang
Ehsan Pajouheshgar
Sabine Süsstrunk
DiffM
77
0
0
11 Jun 2025
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Wenhan Yao
Fen Xiao
Xiarun Chen
Jia Liu
yongqiang He
Weiping Wen
AAMLSILM
20
0
0
10 Jun 2025
NysAct: A Scalable Preconditioned Gradient Descent using Nystrom Approximation
Hyunseok Seung
Jaewoo Lee
Hyunsuk Ko
ODL
30
0
0
10 Jun 2025
Segment Concealed Objects with Incomplete Supervision
Chunming He
Kai Li
Yachao Zhang
Ziyun Yang
Youwei Pang
...
Chengyu Fang
Yulun Zhang
Linghe Kong
Xiu Li
Sina Farsiu
38
0
0
10 Jun 2025
Gender Fairness of Machine Learning Algorithms for Pain Detection
Gender Fairness of Machine Learning Algorithms for Pain Detection
Dylan Green
Yuting Shang
Jiaee Cheong
Yang Liu
Hatice Gunes
21
0
0
10 Jun 2025
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
Rinat Prochii
Elizaveta Dakhova
Pavel Birulin
Maxim Sharaev
13
0
0
10 Jun 2025
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
Tanner Schmidt
Richard Newcombe
VLM
23
0
0
10 Jun 2025
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
Sunny Gupta
Nikita Jangid
Shounak Das
Amit Sethi
FedML
28
0
0
10 Jun 2025
Do Multiple Instance Learning Models Transfer?
Daniel Shao
Richard J. Chen
Andrew H. Song
Joel Runevic
Ming Y. Lu
Tong Ding
Faisal Mahmood
MedIm
30
0
0
10 Jun 2025
HomographyAD: Deep Anomaly Detection Using Self Homography Learning
Jongyub Seok
Chanjin Kang
20
0
0
10 Jun 2025
Effective Data Pruning through Score Extrapolation
Sebastian Schmidt
Prasanga Dhungel
Christoffer Löffler
Bjorn Nieth
Stephan Günnemann
Leo Schwinn
SyDa
31
0
0
10 Jun 2025
Multimodal Representation Alignment for Cross-modal Information Retrieval
Fan Xu
Luis A. Leiva
17
0
0
10 Jun 2025
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
Xinyuan Wang
Dongjie Wang
Wangyang Ying
Haoyue Bai
Nanxu Gong
Sixun Dong
Kunpeng Liu
Yanjie Fu
ReLMLRM
46
0
0
10 Jun 2025
An Adaptive Method Stabilizing Activations for Enhanced Generalization
Hyunseok Seung
Jaewoo Lee
Hyunsuk Ko
ODL
23
0
0
10 Jun 2025
Foundation Models in Medical Imaging -- A Review and Outlook
Foundation Models in Medical Imaging -- A Review and Outlook
Vivien van Veldhuizen
Vanessa Botha
C. Lu
Melis Erdal Cesur
Kevin Groot Lipman
...
Cees Snoek
Lodewyk Wessels
Ritse Mann
Eric Marcus
Jonas Teuwen
MedImVLMAI4CE
64
0
0
10 Jun 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner
Pramit Saha
Harry Anthony
J. A. Noble
Konstantinos Kamnitsas
OOD
30
0
0
10 Jun 2025
Hyperbolic Dual Feature Augmentation for Open-Environment
Peilin Yu
Yuwei Wu
Zhi Gao
Xiaomeng Fan
Shuo Yang
Yunde Jia
44
0
0
10 Jun 2025
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
Shiji Zhao
Chi Chen
Ranjie Duan
Xizhe Wang
Xingxing Wei
23
0
0
10 Jun 2025
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis
Jingguo Qu
Xinyang Han
Tonghuan Xiao
Jia Ai
Juan Wu
...
Jing Qin
Ann Dorothy King
Winnie Chiu-Wing Chu
J. Cai
Michael Tin-Cheung Ying
MedIm
49
0
0
10 Jun 2025
Hybrid Reasoning for Perception, Explanation, and Autonomous Action in Manufacturing
Christos Margadji
Sebastian W. Pattinson
AI4CE
10
0
0
10 Jun 2025
Learning The Minimum Action Distance
Learning The Minimum Action Distance
Lorenzo Steccanella
Joshua B. Evans
Özgür Simsek
Anders Jonsson
18
0
0
10 Jun 2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
Zheng Lin
Zhe Chen
Xianhao Chen
Wei Ni
Yue Gao
FedML
27
0
0
10 Jun 2025
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
Robert-Jan Bruintjes
A. Lengyel
O. Kayhan
Davide Zambrano
Nergis Tomen
Hadi Jamali Rad
Jan van Gemert
VLM
31
0
0
10 Jun 2025
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
Mojtaba Nafez
Amirhossein Koochakian
Arad Maleki
Jafar Habibi
M. Rohban
AAML
36
0
0
10 Jun 2025
Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model
Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model
Ailin Huang
B. Li
Bruce Wang
Boyong Wu
Chao Yan
...
X. Zhang
Yibo Zhu
Daxin Jiang
Shuchang Zhou
Chen-Hao Hu
AuLLM
54
0
0
10 Jun 2025
Enhancing Video Memorability Prediction with Text-Motion Cross-modal Contrastive Loss and Its Application in Video Summarization
Zhiyi Zhu
Xiaoyu Wu
Youwei Lu
33
0
0
10 Jun 2025
Nearness of Neighbors Attention for Regression in Supervised Finetuning
Aviad Susman
Mayte Suárez-Fariñas
Joseph T Colonel
17
0
0
09 Jun 2025
CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
Aniket Rege
Zinnia Nie
Mahesh Ramesh
Unmesh Raskar
Zhuoran Yu
Aditya Kusupati
Yong Jae Lee
Ramya Korlakai Vinayak
24
0
0
09 Jun 2025
StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets
StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets
Anh-Quan Cao
Ivan Lopes
Raoul de Charette
26
0
0
09 Jun 2025
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
Rui Wen
Yiyong Liu
Michael Backes
Yang Zhang
AAML
15
0
0
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Towards the Influence of Text Quantity on Writer Retrieval
Towards the Influence of Text Quantity on Writer Retrieval
Marco Peer
Robert Sablatnig
Florian Kleber
12
0
0
09 Jun 2025
Explore the vulnerability of black-box models via diffusion models
Explore the vulnerability of black-box models via diffusion models
Jiacheng Shi
Yanfu Zhang
Huajie Shao
Ashley Gao
DiffM
15
0
0
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UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
Sunny Gupta
Nikita Jangid
Amit Sethi
FedML
19
0
0
09 Jun 2025
Variational Supervised Contrastive Learning
Variational Supervised Contrastive Learning
Ziwen Wang
Jiajun Fan
Thao Nguyen
Heng Ji
Ge Liu
DRLSSL
45
0
0
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Circumventing Backdoor Space via Weight Symmetry
Circumventing Backdoor Space via Weight Symmetry
Jie Peng
Hongwei Yang
Jing Zhao
Hengji Dong
Hui He
Weizhe Zhang
Haoyu He
AAML
15
0
0
09 Jun 2025
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
Yufei Guo
Yuhan Zhang
Zhou Jie
Xiaode Liu
Xin Tong
Y. Chen
Weihang Peng
Zhe Ma
MQ
15
0
0
09 Jun 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Jie Bao
Chuangyin Dang
Rui Luo
Hanwei Zhang
Zhixin Zhou
AAML
34
1
0
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Clustered Federated Learning via Embedding Distributions
Clustered Federated Learning via Embedding Distributions
Dekai Zhang
Matthew Williams
Francesca Toni
FedML
17
0
0
09 Jun 2025
Cost-Optimal Active AI Model Evaluation
Cost-Optimal Active AI Model Evaluation
Anastasios Nikolas Angelopoulos
Jacob Eisenstein
Jonathan Berant
Alekh Agarwal
Adam Fisch
25
0
0
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