v1v2v3 (latest)

Identity Mappings in Deep Residual Networks

16 March 2016

ArXiv (abs)PDF HTML Github (917★)

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 3,571 papers shown

Title
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping Kevin Kam Fung Yuen FAtt MedIm 47 1 0 20 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 83 0 0 19 Aug 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 118 6 0 19 Aug 2024
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation Xiao Zhao Xukun Zhang Dingkang Yang Mingyang Sun Mingcheng Li Shunli Wang Lihua Zhang MoE 92 1 0 17 Aug 2024
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction Abdulrahman Hamman Adama Chukkol Senlin Luo Kashif Sharif Yunusa Haruna Muhammad Muhammad Abdullahi 54 1 0 13 Aug 2024
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation Koushik Biswas Ridal Pal Shaswat Patel Debesh Jha Meghana Karri ... M. Antalek Yury Velichko Daniela Ladner Amir Borhani Ulas Bagci 62 1 0 11 Aug 2024
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation Yifan Feng Jiangang Huang Shaoyi Du Shihui Ying Jun-Hai Yong Yipeng Li Guiguang Ding Rongrong Ji Yue Gao ObjD 84 14 0 09 Aug 2024
MMREC: LLM Based Multi-Modal Recommender System Jiahao Tian Jinman Zhao Zhenkai Wang Zhicheng Ding 121 14 0 08 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 66 0 0 07 Aug 2024
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution Hojung Lee Jong-Seok Lee 3DV 70 1 0 05 Aug 2024
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining Dongyang Liu Shitian Zhao Le Zhuo Weifeng Lin Ping Luo Xinyue Li Qi Qin Yu Qiao Hongsheng Li Peng Gao MLLM 164 59 0 05 Aug 2024
Block-Operations: Using Modular Routing to Improve Compositional Generalization Florian Dietz Dietrich Klakow AI4CE 57 0 0 01 Aug 2024
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities Lorenzo Baraldi Federico Cocchi Marcella Cornia Lorenzo Baraldi Alessandro Nicolosi Rita Cucchiara 90 10 0 29 Jul 2024
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity Minxiao Chen Haitao Yuan Nan Jiang Zhifeng Bao Shangguang Wang 110 7 0 29 Jul 2024
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks Aditya Kulkarni Vivek Balachandran D. Divakaran Tamal Das AAML 123 5 0 29 Jul 2024
Real Time American Sign Language Detection Using Yolo-v9 Amna Imran Meghana Shashishekhara Hulikal Hamza A. A. Gardi ObjD 71 4 0 25 Jul 2024
A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model Yingxue Xu Yihui Wang Fengtao Zhou Jiabo Ma Shu Yang ... Anjia Han Ronald Cheong Kin Chan Li Liang Xiuming Zhang Hao Chen 128 22 0 22 Jul 2024
The Extrapolation Power of Implicit Models Juliette Decugis Alicia Y. Tsai Max Emerling Ashwin Ganesh L. Ghaoui 67 0 0 19 Jul 2024
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation Jian Sun Yuqi Dai Chi-Man Vong Qing Xu Shengbo Eben Li Jianqiang Wang Lei He Keqiang Li 98 1 0 18 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 101 3 0 17 Jul 2024
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance Yufei Zhang Jeffrey O. Kephart Qiang Ji 3DH 65 0 0 17 Jul 2024
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images Nir Barel Ron Shapira Weber Nir Mualem Shahaf E. Finder Oren Freifeld 171 2 0 16 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 141 6 0 14 Jul 2024
Augmented Neural Fine-Tuning for Efficient Backdoor Purification Nazmul Karim Abdullah Al Arafat Umar Khalid Zhishan Guo Nazanin Rahnavard AAML 87 1 0 14 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 80 0 0 11 Jul 2024
Highway Networks for Improved Surface Reconstruction: The Role of Residuals and Weight Updates A. Noorizadegan Y. C. Hon D. Young C. S. Chen 3DV 30 0 0 11 Jul 2024
Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning A. Noorizadegan R. Cavoretto D. Young C. S. Chen 72 7 0 10 Jul 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 77 1 0 08 Jul 2024
Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness Idris Hamoud Alexandros Karargyris Aidean Sharghi Omid Mohareri N. Padoy SSL 83 1 0 07 Jul 2024
Research on the Acoustic Emission Source Localization Methodology in Composite Materials based on Artificial Intelligence Jongick Won Hyuntaik Oh Jae Sakong 40 0 0 07 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Mian AAML 67 1 0 05 Jul 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes Yusuke Hirota Jerone T. A. Andrews Dora Zhao Orestis Papakyriakopoulos Apostolos Modas Yuta Nakashima Alice Xiang 109 4 0 04 Jul 2024
Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data Etienne Chollet Yael Balbastre Chiara Mauri C. Magnain Bruce Fischl Hui Wang 88 0 0 01 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 162 1 0 01 Jul 2024
The MRI Scanner as a Diagnostic: Image-less Active Sampling Yuning Du R. Dharmakumar Sotirios A. Tsaftaris 62 2 0 24 Jun 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 76 0 0 24 Jun 2024
CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack Hanfeng Xia Haibo Hong Ruili Wang AAML 105 0 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 244 1 0 21 Jun 2024
Self-Supervised Pretext Tasks for Alzheimer's Disease Classification using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging Dataset Chen Zheng MedIm 45 0 0 20 Jun 2024
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines Honglei Zhang Jukka I. Ahonen Nam Le Ruiying Yang Francesco Cricri 38 1 0 18 Jun 2024
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration Gyusang Cho Chan-Hyun Youn 83 0 0 14 Jun 2024
Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening Mahtab Bigverdi Burkhard Hockendorf Heming Yao Phil Hanslovsky Romain Lopez David Richmond 93 0 0 11 Jun 2024
Generalized W-Net: Arbitrary-style Chinese Character Synthesization Haochuan Jiang Guanyu Yang Fei Cheng Kaizhu Huang 56 0 0 10 Jun 2024
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks Haochuan Jiang Guanyu Yang Kaizhu Huang Rui Zhang 77 0 0 10 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring Thomas Kite Uzair Tahamid Siam Brian Ayers Nicholas Houstis Aaron D Aguirre 79 2 0 07 Jun 2024
Concurrent Training and Layer Pruning of Deep Neural Networks Valentin Frank Ingmar Guenter Athanasios Sideris 3DPC 86 3 0 06 Jun 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction Chen-Yu Yen Raghav Singhal Umang Sharma Rajesh Ranganath S. Chopra Lerrel Pinto 54 2 0 06 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 66 0 0 06 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 116 0 0 04 Jun 2024
Mixup Augmentation with Multiple Interpolations Lifeng Shen Jincheng Yu Hansi Yang James T. Kwok 70 0 0 03 Jun 2024