Identity Mappings in Deep Residual Networks

16 March 2016

Papers citing "Identity Mappings in Deep Residual Networks"

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Title
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for SAR Target Classification Xiang Yu Zhe Geng Xiaohua Huang Qinglu Wang Daiyin Zhu 38 5 0 03 Aug 2022
Neural Contourlet Network for Monocular 360 Depth Estimation Zhijie Shen Chunyu Lin Lang Nie K. Liao Yao Zhao MDE 55 10 0 03 Aug 2022
COMET: Coverage-guided Model Generation For Deep Learning Library Testing Meiziniu Li Jialun Cao Yongqiang Tian T. Li Ming Wen Shing-Chi Cheung VLM 26 19 0 02 Aug 2022
An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans Hussein Hashem Yasmin M. Alsakar A. Elgarayhi Mohammed M Elmogy M. Sallah 21 0 0 01 Aug 2022
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation Zhihao Li Jianzhuang Liu Zhensong Zhang Songcen Xu Youliang Yan 3DH 17 218 0 01 Aug 2022
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis Haobing Liu Yanmin Zhu Chunyang Wang Jianyu Ding Jiadi Yu Feilong Tang 19 4 0 24 Jul 2022
Novel Class Discovery without Forgetting K. J. Joseph S. Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han V. Balasubramanian CLL 54 43 0 21 Jul 2022
Land Classification in Satellite Images by Injecting Traditional Features to CNN Models Mehmet Çağrı Aksoy B. Sirmaçek Cem Ünsalan 11 3 0 21 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 15 1 0 21 Jul 2022
Eliminating Gradient Conflict in Reference-based Line-Art Colorization Zekun Li Zhengyang Geng Zhao Kang Wenyu Chen Yibo Yang 21 35 0 13 Jul 2022
Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies Arnout van Soesbergen Zedong Chu Miaojing Shi Mark Mulligan 26 12 0 12 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 30 44 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 27 7 0 12 Jul 2022
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture N. Zioulis G. Albanis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras 29 11 0 11 Jul 2022
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation Zihan Li Dihan Li Cangbai Xu Wei-Chien Wang Qingqi Hong Qingde Li Jie Tian ViT MedIm 35 46 0 07 Jul 2022
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers Runsheng Xu Zhengzhong Tu Hao Xiang Wei Shao Bolei Zhou Jiaqi Ma 56 219 0 05 Jul 2022
Vector Quantisation for Robust Segmentation Ainkaran Santhirasekaram Avinash Kori Mathias Winkler A. Rockall Ben Glocker OOD 27 9 0 05 Jul 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models Ainkaran Santhirasekaram Avinash Kori A. Rockall Mathias Winkler Francesca Toni Ben Glocker FAtt 42 4 0 05 Jul 2022
Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario Yukai Wang Chunlei Peng Decheng Liu N. Wang Xinbo Gao 47 14 0 05 Jul 2022
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application Zhiyu Huang Xiaoyu Mo Chen Lv 19 17 0 02 Jul 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen Long Jin Mingsheng Shang MLT 24 8 0 27 Jun 2022
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues N. Zioulis Federico Álvarez D. Zarpalas P. Daras 3DV MDE 32 2 0 22 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 11 0 0 22 Jun 2022
When Does Re-initialization Work? Sheheryar Zaidi Tudor Berariu Hyunjik Kim J. Bornschein Claudia Clopath Yee Whye Teh Razvan Pascanu 40 10 0 20 Jun 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 35 28 0 17 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 46 27 0 17 Jun 2022
Realistic One-shot Mesh-based Head Avatars Taras Khakhulin V. Sklyarova Victor Lempitsky Egor Zakharov 3DH 40 97 0 16 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 36 5 0 16 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 22 1 0 16 Jun 2022
On Calibrated Model Uncertainty in Deep Learning Biraja Ghoshal A. Tucker UQCV MedIm 25 10 0 15 Jun 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction Kaifeng Lyu Zhiyuan Li Sanjeev Arora FAtt 45 71 0 14 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 26 39 0 14 Jun 2022
Scaling ResNets in the Large-depth Regime Pierre Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 26 16 0 14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 30 12 0 13 Jun 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 35 134 0 13 Jun 2022
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access Daniel Schäufele Guillermo Marcus Nikolaus Binder Matthias Mehlhose Alexander Keller S. Stańczak 13 1 0 13 Jun 2022
Large-Scale Retrieval for Reinforcement Learning Peter C. Humphreys A. Guez O. Tieleman Laurent Sifre T. Weber Timothy Lillicrap RALM OffRL 40 26 0 10 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 37 22 0 10 Jun 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems Shehzeen Samarah Hussain Todd P. Huster Chris Mesterharm Paarth Neekhara Kevin R. An Malhar Jere Harshvardhan Digvijay Sikka F. Koushanfar AAML 18 6 0 09 Jun 2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics Maya Pavlova Tia Tuinstra Hossein Aboutalebi Andy Zhao Hayden Gunraj Alexander Wong 26 12 0 08 Jun 2022
Adversarial Reprogramming Revisited Matthias Englert R. Lazic AAML 29 9 0 07 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Peng Kuang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 30 1 0 05 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 14 5 0 02 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han L. Petersson Hongdong Li Ian Reid 41 9 0 31 May 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 30 17 0 31 May 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 35 25 0 29 May 2022
Face Morphing: Fooling a Face Recognition System Is Simple! S. Hörmann Tianlin Kong Torben Teepe Fabian Herzog Martin Knoche Gerhard Rigoll AAML CVBM 32 1 0 27 May 2022
COVID-19 Severity Classification on Chest X-ray Images Aditi Sagar Aman Swaraj Karan Verma 33 1 0 25 May 2022
Augmentation-induced Consistency Regularization for Classification Jianguo Wu Shijing Si Jianzong Wang Jing Xiao 21 2 0 25 May 2022