Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Ioannou, Yani, Robertson, Duncan, Cipolla, Roberto, Criminisi, Antonio·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (323)

Items 201–300 of 323

  1. OD-DDA: Real-Time Object Detector with Dual Dynamic Adaptation in Variable Scenes
    Mengmei Sang, Shengwei Tian, Long Yu, Xin Fan, Zhezhe Zhu · 2025 · Knowledge-Based Systems
  2. Learning feature relationships in CNN model via relational embedding convolution layer
    Shengzhou Xiong, Yihua Tan, Guoyou Wang, Pei Yan, Xuanyu Xiang · 2024 · Neural Networks
  3. LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
    Aiheng Zhang, Zhen Sun, Qiguang Jiang, Kai Wang, Ming Li, Bailing Wang · 2025 · IEEE Transactions on Intelligent Transportation Systems
  4. Tensor neural networks via circulant convolution
    Chang Nie, Huan Wang · 2022 · Neurocomputing
  5. DGC‐UWnet: Underwater image enhancement based on computation‐efficient convolution and channel shuffle
    Xuyan Hao, Lixin Liu · 2023 · IET Image Processing
  6. Learning more discriminative clues with gradual attention for fine-grained visual categorization
    Qin Xu, Mengquan Zhang, Yun Li, Zhifu Tao · 2023 · Image and Vision Computing
  7. HAB‐Net: Hierarchical asymmetric convolution and boundary enhancement network for brain tumor segmentation
    Yuanjing Hu, Aibin Huang, Rui Xu · 2024 · IET Image Processing
  8. SiamMT: Real-Time Arbitrary Multi-Object Tracking
    Lorenzo Vaquero, Manuel Mucientes, V.M. Brea · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  9. A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions
    Xiujian Hu, Guanglei Sheng, Daohua Zhang, Lin Li · 2023 · PeerJ Computer Science
  10. A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
    Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, K.M. Chugg · 2019 · arXiv (Cornell University)
  11. Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
    Tristan Deleu, Yoshua Bengio · 2021 · arXiv (Cornell University)
  12. A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms
    Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang · 2024 · Journal of Marine Science and Engineering
  13. SE_Resnet14: Design and development of deep learning architecture for kidney microscopy images grading
    Sufiya Mulla, Rajlaxmi Mandavkar, Simran Jamadar, Sneha Magdum, Uma Gurav · 2025 · Procedia Computer Science
  14. Global Grouped Coordinate Attention for Transformer in Pedestrian Trajectory Prediction
    Jiashuai Xiao, Jing Zhang, Zilong Li · 2025 · Signal Image and Video Processing
  15. IECA-YOLOv7: A Lightweight Model with Enhanced Attention and Loss for Aerial Wildlife Detection
    Wenyue Ke, Tengfei Liu, Xiaohui Cui · 2025 · Animals
  16. Accelerating approximate matrix multiplication for near-sparse matrices on GPUs
    Xiaoyan Liu, Yi Liu, Hailong Yang, Ming Dun, Bohong Yin, Zhongzhi Luan, Depei Qian · 2022 · The Journal of Supercomputing
  17. Spatial and Channel Aggregation Network for Lightweight Image Super-Resolution
    Xianyu Wu, Linze Zuo, Feng Huang · 2023 · Sensors
  18. A lightweight fire hazard recognition model for urban subterranean buildings suitable for resource-constrained embedded systems
    Yuehao Chen, Ying He Jiang, Zhao‐Dong Xu, Liulei Zhang, Fei Yan, Hanqing Zong · 2024 · Signal Image and Video Processing
  19. EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues
    Rohit Girmaji, Bhav Beri, Ramanathan Subramanian, Vineet Gandhi · 2025 · ACM International Conference on Intelligent User Interfaces (IUI)
  20. Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
    Rohit Girmaji, Siddharth Jain, Bhav Beri, Sarthak Bansal, Vineet Gandhi · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  21. A Multiscale Recalibration Attention Network With Adaptive Grouped Convolution for Bearing Fault Diagnosis via Transfer Learning
    Jingqi Zhang, Ke Wang, Wei Zhang, Ningning Yang, Wei Feng Sun · 2025 · IEEE Transactions on Instrumentation and Measurement
  22. Foreground Information Guidance for Siamese Visual Tracking
    Daqun Li, Yi Yu · 2020 · IEEE Access
  23. Variable batch size across layers for efficient prediction on CNNs
    Anamitra R. Choudhury, Saurabh Goyal, Yogish Sabharwal, Ashish Verma · 2020 · IEEE ... International Conference on Cloud Computing
  24. 3D EMSU‐Net: A framework for automatic segmentation of brain tumors
    Luyi Qiu, Geng Ji, Yiling Zhang, Chao Zhang, Dongjie He, Lingling Gao · 2021 · International Conference on Intelligent Computing and Signal Processing (ICSP)
  25. Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet
    Joao Paulo Schwarz Schuler, Santiago Romaní, Mohamed Abdel‐Nasser, Hatem A. Rashwan, Domènec Puig · 2021 · Frontiers in artificial intelligence and applications
  26. Activity-Free User Identification Using Wearables Based on Vision Techniques
    Alejandro Sánchez Guinea, Simon Heinrich, Max Mühlhäuser · 2022 · Sensors
  27. XCAT - Lightweight Quantized Single Image Super-Resolution Using Heterogeneous Group Convolutions and Cross Concatenation
    Mustafa Ayazoğlu, Bahri Batuhan Bilecen · 2023 · Lecture notes in computer science
  28. Federated Learning for Sleep Stage Classification on Edge Devices via a Model-Agnostic Meta-Learning-Based Pre-Trained Model
    Sunghwan Moon, Tae Seong Kim, Jihye Ryu, Won Hee Lee · 2023 · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
  29. MADL: A Multilevel Architecture of Deep Learning
    Samir Brahim Belhouari, Hafsa Raissouli · 2021 · International Journal of Computational Intelligence Systems
  30. Count, Decode and Fetch: A New Approach to Handwritten Chinese Character Error Correction
    Pengfei Hu, Jiefeng Ma, Zhenrong Zhang, Jun Du, Jianshu Zhang · 2023 · SSRN Electronic Journal
  31. A Comprehensive Survey on Recent Model Compression and Acceleration Approaches for Deep Neural Networks and Transformers
    GUOAN XU, Wenfeng Huang, Wenjing Jia · 2024 · SSRN Electronic Journal
  32. Lightweight target detection algorithm based on partial convolution
    BingSen Chen, Zhibin Liu · 2024 · Journal of Electronic Imaging
  33. Integrating Demodulation Techniques With Multisource Transfer Learning for Intelligent Fault Diagnosis of Bearings
    Guiting Tang, Chunjun Chen, Yifan Li, Lingkai Liu, Cai Yi, Jianhui Lin · 2025 · IEEE Transactions on Instrumentation and Measurement
  34. PFAN: progressive feature aggregation network for lightweight image super-resolution
    Liqiong Chen, Xiangkun Yang, Shu Wang, Ying Shen, Jing Wu, Feng Huang, Zhaobing Qiu · 2025 · The Visual Computer
  35. Obstacle Detection and Identification Algorithm for Transmission Line Inspection Robot Based on H-CNN
    Bin Zhang, Renjia Wang, Xuan‐Feng Jiang, Guofang Huang, Zhicheng Wu · 2021 · International Conference on Robotics, Control and Automation Engineering (RCAE)
  36. An image classification network for network traffic representation learning
    Xinyan Liu · 2021 · International Symposium on Computer and Information Processing Technology (ISCIPT)
  37. 6D Object Pose Estimation Based on Cross-Modality Feature Fusion
    Meng Jiang, Liming Zhang, Xiaohua Wang, Shuang Li, Yijie Jiao · 2023 · Sensors
  38. Retracted: A Comparative Analysis of Machine Learning and Deep Learning Algorithms for Image Classification
    Mukesh Madanan, Saraswathy Shamini Gunasekaran, Moamin A. Mahmoud · 2023 · International Conference on Contemporary Computing and Informatics (IC3I) · Retracted
  39. DAFNet: A dual attention-guided fuzzy network for cardiac MRI segmentation
    Yuxin Luo, Yu Fang, Guofei Zeng, Yibin Lu, Li Du, Lisha Nie, Pu‐Yeh Wu, Dechuan Zhang, Longling Fan · 2024 · AIMS Mathematics
  40. Research on salient object detection algorithm for complex electrical components
    Jinyu Tian, Zhiqiang Zeng, Zhiyong Hong, Dexin Zhen · 2024 · Journal of Intelligent Manufacturing
  41. Shrink and Expose: Locate Edge Coarse-to-Fine for Camouflaged Object Detection
    Kejun Kang, Yixiu Liu, Yaoqi Sun, Shangdong Zhu, Fawei Ge, Wei William Wang, Chenggang Clarence Yan, Zhigao Zheng · 2024 · IEEE Transactions on Consumer Electronics
  42. Early Plant Classification Model Based on Dual Attention Mechanism and Multi-Scale Module
    Tonglai Liu, Xuanzhou Chen, Wanzhen Zhang, Xuekai Gao, Liqiong Lu, Shuangyin Liu · 2025 · AgriEngineering
  43. Discrete Edge Feature Guided Rotation Detection Method for Remote Sensing Ship Wake
    Junfei Chen, Zhuhua Hu, Yaochi Zhao, Wei Wu, Lihang Chen, Yueming Hu, Ba Huang · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  44. A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation
    Qingxu Meng, Weijiang Wang, Hang Qi, Hua Dang, Minli Jia, Xiaohua Wang · 2025 · Scientific Reports
  45. Max-Variance Convolutional Neural Network Model Compression
    Tanya Boone-Sifuentes, Antonio Robles‐Kelly, Asef Nazari · 2020 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  46. Multi-Scale Image Super-Resolution via Hierarchical Filter Groups
    Gadipudi Amaranageswarao, S. Deivalakshmi · 2021 · Applied Intelligence
  47. Text mining to detect indications of fraud in annual reports worldwide
    Marcia Fissette · 2017
  48. Rapid flood detection in global scene based on multimodal data collaboration
    Gang Qin, Shixin Wang, Futao Wang, Suju Li, Xin Gu, Bing Chen, Xinran Wang, Zhenqing Wang, Kailong Hu, Jinfeng Zhu · 2025 · International Journal of Digital Earth
  49. ADNet: Adaptively Dense Convolutional Neural Networks
    Mingjie Wang, Hao Cai, Xin Huang, Minglun Gong · 2020 · IEEE Winter Conference on Applications of Computer Vision
  50. Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
    Ya-nan Han, Liu Jian-we · 2022 · International Joint Conference on Neural Networks (IJCNN)
  51. UAV Intelligent Forest Inspection System Based on Computer Vision
    Di Wu, Xue Yuan, Licong Guan · 2023 · IEEE International Conference on Power, Electronics and Computer Applications (ICPECA)
  52. Evaluation of Convolution Primitives for Embedded Neural Networks on 32-Bit Microcontrollers
    Baptiste Nguyen, Pierre-Alain Moëllic, Sylvain Blayac · 2023 · Lecture notes in networks and systems
  53. 基于改进拉普拉斯金字塔的HDR图像色调映射算法
    张博文 Zhang Bowen, 夏振平 Xia Zhenping, 张跃渊 Zhang Yueyuan, 程成 Cheng Cheng, 刘宇杰 Liu Yujie · 2024 · Laser & Optoelectronics Progress
  54. Target detection model for litchi picking in complex scenes
    Tianheng Li, Peichao Cong, Yutao Xu, Liang Ji, Kun Wang, Xin Yu Zhang · 2024 · Digital engineering.
  55. A Deblurring Methodology for Motion-Blurred X-ray Images of Transmission Line Tension Clamps
    Qiliang Du, Jiashuo Lin, Fengrui Qu, Lianfang Tian · 2025 · Electrical Engineering
  56. Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution
    Shaowei Pan, Xingxing Cheng, Wenjing Fan · 2025 · IEEE Access
  57. Automatic Modulation Classification with Low-Cost Attention Network for Impaired OFDM Signals
    Thien Huynh‐The, Quoc‐Viet Pham, Toan-Van Nguyen, Daniel Benevides da Costa, Dong‐Seong Kim · 2022 · IEEE Wireless Communications and Networking Conference
  58. Neural Networks with Block Diagonal Inner Product Layers
    Amy Nesky, Quentin F. Stout · 2018 · Lecture notes in computer science
  59. Substituting Convolutions for Neural Network Compression
    Elliot J. Crowley, Gavin Douglas Buchanan Gray, Jack Turner, Amos Storkey · 2021 · IEEE Access
  60. Foreground Information‐Aware Image Superresolution Reconstruction for Image Processing IoT Systems in Smart City
    Yanfen Cheng, Chenhao Li, Xun Shao, Fan He · 2022 · Wireless Communications and Mobile Computing
  61. Divide to Attend: A Multiple Receptive Field Attention Module for Object Detection in Remote Sensing Images
    Haotian Tan, Jiong Yu, Xueqiang Wan, Junjie Wang · 2022 · IEEE Access
  62. Path reader and intelligent lane navigator by autonomous vehicle
    Amar Shukla, Ankit Verma, Hussain Falih Mahdi, Tanupriya Choudhury, Thipendra P. Singh · 2023 · Paladyn Journal of Behavioral Robotics
  63. A Squeeze Convolutional Network For MRI Right Ventricle Segmentation
    Zexiong Liu, Xuan Yang · 2019 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  64. Fine-grained Optimization of Deep Neural Networks
    Mete Özay · 2019 · arXiv (Cornell University)
  65. On the Demystification of Knowledge Distillation: A Residual Network Perspective
    Nandan Kumar Jha, Rajat Saini, Sparsh Mittal · 2020 · arXiv (Cornell University)
  66. GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures
    Ivan Chelombiev, Daniel Justus, Douglas Orr, Anastasia Dietrich, Frithjof Gressmann, Alexandros Koliousis, Carlo Luschi · 2021 · arXiv (Cornell University)
  67. Central Feature Network Enables Accurate Detection of Both Small and Large Particles in Cryo-Electron Tomography
    Yao‐Yu Wang, Xiaohua Wan, Cheng Chen, Fa Zhang, Xuefeng Cui · 2025 · Journal of Computer Science and Technology
  68. Differentiable Generative Adversarial Network Architecture Search Guided by Efficient Attention and Fréchet Distance
    Yandan Xu, Qianjin Zhang, Yu Xue · 2025 · International Journal of Neural Systems
  69. Fuzzy CNN for job cycle time bounding in wafer fabrication
    Toly Chen, Yu-Cheng Lin, Wan-Chi Chang · 2026 · The International Journal of Advanced Manufacturing Technology
  70. WLARR: A Robust Two-Stage Wi-Fi Sensing Framework for Joint Indoor Localization, Activity, and Respiration Pattern Recognition
    Mingxin Song, Yanliang Jin, Chenggang Shao, Yuan Gao, Shengli Liu · 2026 · IEEE Transactions on Instrumentation and Measurement
  71. Affine-Constrained Group Sparse Coding Based on Mixed Norm
    Jianshu Zhang, Zhongyu Chen, Changbing Tan, Feilong Lin, Jie Yang, Zheng Zheng · 2017 · Lecture notes in computer science
  72. Decoupled Convolutions for CNNs
    Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, Jingdong Wang · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
  73. CRU-Net: A Deep Learning Network for Semantic Segmentation of Pathological Tissue Slices
    Yang Li · 2021 · IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)
  74. STCA-Net: Multi-channel ECG Space-Time-Channel Attention Model for Noninvasive Prediction of Catheter Ablation in Atrial Fibrillation
    Gaoyan Zhong, Sen Liu, Yueyi Wang, Cuiwei Yang · 2022 · IEEE International Conference on Pattern Recognition and Machine Learning (PRML)
  75. Visualization of Convolutional Neural Networks with Attention Mechanism
    Meng Yuan, Tie Bao, Dawei Lin · 2022 · Lecture notes in computer science
  76. High-Performance Architecture Aware Sparse Convolutional Neural Networks for GPUs
    Lizhi Xiang, Ponnuswamy Sadayappan, Aravind Sukumaran-Rajam · 2022 · International Conference on Parallel Architectures and Compilation Techniques (PACT)
  77. LiteHandNet: A Lightweight Hand Pose Estimation Network via Structural Feature Enhancement
    Zhiyong Huang, Song-Lu Chen, Qi Liu, Chong-Jian Zhang, Feng Chen, Xu-Cheng Yin · 2023 · Lecture notes in computer science
  78. Central Feature Network Enables Accurate Detection of Both Small and Large Particles in Cryo-Electron Tomography
    Yaoyu Wang, Xiaohua Wan, Cheng Chen, Fa Zhang, Xuefeng Cui · 2024 · Lecture notes in computer science
  79. PSMFNet: Lightweight Partial Separation and Multiscale Fusion Network for Image Super-Resolution
    Shuai Cao, Jianan Liang, Yongjun Cao, Jinglun Huang, Zhishu Yang · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
  80. Deep Tree Net-Vector of Locally Aggregated Descriptor (VLAD) Model
    Abduljawad A. Amory, Ghulam Muhammad, Hassan I. Mathkour · 2019 · IEEE Access
  81. Neural networks with block diagonal inner product layers: a look at neural network architecture through the lens of random matrices
    Amy Nesky, Quentin F. Stout · 2019 · Neural Computing and Applications
  82. Optimizing Grouped Convolutions on Edge Devices
    Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O’boyle, Amos Storkey · 2020 · IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP)
  83. Esmt-Yolov8n: A Cross-Scale Enhanced Network for Multi-Scale Defect Detection in Photovoltaic Cells Under Complex Backgrounds
    Junsheng Chen, Yimeng Chen, Mingjie Liu, Changhao Piao · 2025 · SSRN Electronic Journal
  84. Receptive fields optimization in deep learning for enhanced interpretability, diversity, and resource efficiency.
    Babajide Odunitan Ayinde · 2019
  85. Learning Task-Specific and Shared Representations in Medical Imaging
    Felix Bragman, Ryutaro Tanno, Sebastien Ourselin A, Daniel C. Alexander, M. Jorge Cardoso · 2019 · Lecture notes in computer science
  86. Comb Convolution for Efficient Convolutional Architecture
    Li, Dandan, Yuan Zhou, Shuwei Huo, Sun‐Yuan Kung · 2019 · arXiv (Cornell University)
  87. GroSS: Group-Size Series Decomposition for Grouped Architecture Search
    Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu · 2020 · Lecture notes in computer science
  88. GSNet: Group Sequential Learning for Image Recognition
    Shao Xiang, Qiaokang Liang, Wei Jie Sun, Dan Zhang, Yaonan Wang · 2021 · Cognitive Computation
  89. Neural Architecture Search as Program Transformation Exploration
    Jack Turner, Elliot J. Crowley, Michael F. P. O’boyle · 2024 · Communications of the ACM
  90. Deep neural network compression : from sufficient to scarce data
    Shangyu Chen · 2021
  91. SEMANTIC GRAPH ATTENTION NETWORKS AND TENSOR DECOMPOSITIONS FOR COMPUTER VISION AND COMPUTER GRAPHICS
    LUIZ JOSE SCHIRMER SILVA · 2021
  92. An Improved Human-Body-Segmentation Algorithm with Attention-Based Feature Fusion and a Refined Stereo-Matching Scheme Working at the Sub-Pixel Level for the Anthropometric System
    Lei Yang, Xiaoyu Guo, Xiaowei Song, Deyuan Lu, Wenjing Cai, Zixiang Xiong · 2022 · Entropy
  93. Peer Review #2 of "A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions (v0.1)"
    2023 · PeerJ Computer Science
  94. Peer Review #1 of "A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions (v0.1)"
    2023 · PeerJ Computer Science
  95. Peer Review #3 of "A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions (v0.1)"
    2023 · PeerJ Computer Science
  96. Peer Review #2 of "A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions (v0.2)"
    2023 · PeerJ Computer Science
  97. Peer Review #3 of "A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions (v0.2)"
    2023 · PeerJ Computer Science
  98. Peer Review #1 of "A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions (v0.2)"
    2023 · PeerJ Computer Science
  99. A Selective Multi-Unit Group Filter-Based Flexible Fast Light-CNN Training
    Chan Yung Kim, EunChong Lee, Yu-Mi Kim, Aeri Kim, Sung‐Joon Jang, Sang-Seol Lee · 2023 · International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
  100. Shale Core Fracture Extraction Method Based On Edge Detection and Hierarchical Semantic Fusion Network
    Ruixi He, Lijuan Jia, Jinchuan Zhang, Senran Peng · 2023 · Chinese Control Conference (CCC)