Dual Path Networks

6 July 2017

Papers citing "Dual Path Networks"

50 / 89 papers shown

Title
VMamba: Visual State Space Model Yue Liu Yunjie Tian Yuzhong Zhao Hongtian Yu Lingxi Xie Yaowei Wang Qixiang Ye Jianbin Jiao Yunfan Liu Mamba 146 611 0 31 Dec 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 37 17 0 01 Jul 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines Drew Linsley Peisen Zhou A. Ashok Akash Nagaraj Gaurav Gaonkar Francis E Lewis Zygmunt Pizlo Thomas Serre 48 6 0 06 Jun 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 32 8 0 02 May 2024
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification Haitao Gan Lingchao Fu Ran Zhou Weiyan Gan Furong Wang Xiaoyan Wu Zhi Yang Zhongwei Huang 26 2 0 25 Jan 2024
Distributionally Robust Classification on a Data Budget Ben Feuer Ameya Joshi Minh Pham C. Hegde OOD 29 2 0 07 Aug 2023
Controllable Guide-Space for Generalizable Face Forgery Detection Yingjie Guo Cheng Zhen Pengfei Yan CVBM AAML 30 21 0 26 Jul 2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI Zimeng Li Sa Xiao Cheng Wang Haidong Li Xiuchao Zhao ... Junshuai Xie Lei Shi F. Guo Chaohui Ye Xin Zhou 22 5 0 21 Jun 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex Drew Linsley I. F. Rodriguez Thomas Fel Michael Arcaro Saloni Sharma Margaret Livingstone Thomas Serre 35 18 0 06 Jun 2023
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen J. C. V. Gemert 18 9 0 31 May 2023
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning L. P. Valem Daniel Carlos Guimarães Pedronette Longin Jan Latecki 13 5 0 24 Apr 2023
Feature representations useful for predicting image memorability Takumi Harada Hiroyuki Sakai 13 1 0 14 Mar 2023
Out of Distribution Performance of State of Art Vision Model Salman Rahman W. Lee 26 2 0 25 Jan 2023
Data-aware customization of activation functions reduces neural network error Fuchang Gao Boyu Zhang 24 4 0 16 Jan 2023
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 30 71 0 08 Nov 2022
Grafting Vision Transformers Jong Sung Park Kumara Kahatapitiya Donghyun Kim Shivchander Sudalairaj Quanfu Fan Michael S. Ryoo ViT 26 2 0 28 Oct 2022
Learning to estimate a surrogate respiratory signal from cardiac motion by signal-to-signal translation Akshay Iyer C. Lindsay H. Pretorius M. King MedIm 11 1 0 20 Jul 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 6 4 0 02 Jun 2022
Neural network processing of holographic images John S. Schreck Gabrielle Gantos M. Hayman A. Bansemer D. Gagne 36 7 0 16 Mar 2022
The KFIoU Loss for Rotated Object Detection Xue Yang Yue Zhou Gefan Zhang Jitui Yang Wentao Wang Junchi Yan Xiaopeng Zhang Q. Tian 66 163 0 29 Jan 2022
Product Re-identification System in Fully Automated Defect Detection Chenggui Sun Lingling Song 23 3 0 20 Dec 2021
Magnifying Networks for Images with Billions of Pixels Neofytos Dimitriou Ognjen Arandjelovic 16 2 0 12 Dec 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie M. Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 19 3 0 27 Nov 2021
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery Hasan Nasrallah Mustafa Shukor A. Ghandour SSeg 22 4 0 12 Nov 2021
ε-weakened Robustness of Deep Neural Networks Pei Huang Yuting Yang Minghao Liu Fuqi Jia Feifei Ma Jian Zhang AAML 19 18 0 29 Oct 2021
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images Jiahua Xu Philipp Ernst Tung-Lung Liu A. Nürnberger 14 1 0 25 Oct 2021
2020 CATARACTS Semantic Segmentation Challenge Imanol Luengo M. Grammatikopoulou R. Mohammadi Chris Walsh C. Nwoye ... Jianyuan Hong Haili Ye F. Huang Da-han Wang Danail Stoyanov 3DPC 22 9 0 21 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 18 60 0 20 Oct 2021
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation Adrian Galdran G. Carneiro M. A. G. Ballester MedIm 22 27 0 05 Oct 2021
Compute and Energy Consumption Trends in Deep Learning Inference Radosvet Desislavov Fernando Martínez-Plumed José Hernández Orallo 29 113 0 12 Sep 2021
Data Poisoning Won't Save You From Facial Recognition Evani Radiya-Dixit Sanghyun Hong Nicholas Carlini Florian Tramèr AAML PICV 13 57 0 28 Jun 2021
Learning the Precise Feature for Cluster Assignment Yanhai Gan Xinghui Dong Huiyu Zhou Feng Gao Junyu Dong 19 4 0 11 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 569 0 27 May 2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning Manvel Avetisian I. Burenko K. Egorov V. Kokh A. Nesterov A. Nikolaev Alexander Ponomarchuk Elena Sokolova Alexander Tuzhilin Dmitry Umerenkov OOD 11 5 0 25 May 2021
ELF-VC: Efficient Learned Flexible-Rate Video Coding Oren Rippel Alexander G. Anderson Kedar Tatwawadi Sanjay Nair Craig Lytle Lubomir D. Bourdev 28 114 0 29 Apr 2021
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning Dayu Tan Zheng Huang Xin Peng W. Zhong V. Mahalec 25 11 0 31 Mar 2021
RoBIC: A benchmark suite for assessing classifiers robustness Thibault Maho Benoît Bonnet Teddy Furon Erwan Le Merrer AAML 19 4 0 10 Feb 2021
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks Alessandro Saviolo Matteo Bonotto D. Evangelista Marco Imperoli Jacopo Lazzaro Emanuele Menegatti Alberto Pretto 3DH 13 3 0 02 Feb 2021
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss Xue Yang Junchi Yan Qi Ming Wentao Wang Xiaopeng Zhang Qi Tian 111 399 0 28 Jan 2021
Densely connected multidilated convolutional networks for dense prediction tasks Naoya Takahashi Yuki Mitsufuji 3DV 13 64 0 21 Nov 2020
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection Xue Yang Liping Hou Yue Zhou Wentao Wang Junchi Yan 34 240 0 19 Nov 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 21 94 0 08 Oct 2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans Paschalis A. Bizopoulos N. Vretos P. Daras 22 17 0 10 Sep 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 48 653 0 01 Jun 2020
Deep Learning for Automatic Pneumonia Detection Tatiana Gabruseva D. Poplavskiy Alexandr A Kalinin 11 102 0 28 May 2020
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion Hang Dong Jin-shan Pan Lei Xiang Zhe Hu Xinyi Zhang Fei Wang Ming-Hsuan Yang 25 674 0 28 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 54 2,595 0 01 Apr 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives Duo Li Qifeng Chen 129 19 0 24 Mar 2020
On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited Xue Yang Junchi Yan 24 146 0 12 Mar 2020