Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

10 April 2019

Papers citing "Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution"

50 / 172 papers shown

Title
3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model H. Fu Jie Liang F. Liang Zhenman Fang Guohe Zhang Jingning Han 108 0 0 07 Apr 2025
Spectral-Adaptive Modulation Networks for Visual Perception Guhnoo Yun J. Yoo Kijung Kim Jeongho Lee Paul Hongsuck Seo Dong Hwan Kim 42 0 0 31 Mar 2025
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression H. Fu Jie Liang Zhenman Fang Jingning Han 36 0 0 09 Mar 2025
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression Shiqi Jiang Hui Yuan Shuai Li H. Zeng Sam Kwong 55 0 0 24 Feb 2025
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations Mingshu Zhao Yi Luo Yong Ouyang 38 0 0 27 Dec 2024
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation Jiaqi Ma Guo-Sen Xie Fang Zhao Zechao Li 32 0 0 23 Dec 2024
Macro2Micro: Cross-modal Magnetic Resonance Imaging Synthesis Leveraging Multi-scale Brain Structures Sooyoung Kim Joonwoo Kwon Junbeom Kwon Sangyoon Bae Yuewei Lin Shinjae Yoo Jiook Cha MedIm 71 0 0 15 Dec 2024
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Shravan Venkatraman Jaskaran Singh Walia J. Raheja ViT 33 0 0 14 Nov 2024
Grouped Discrete Representation for Object-Centric Learning Rongzhen Zhao V. Wang Juho Kannala J. Pajarinen BDL OCL 21 1 0 04 Nov 2024
Multi-Scale Fusion for Object Representation Rongzhen Zhao V. Wang Juho Kannala J. Pajarinen OCL VOS 68 1 0 02 Oct 2024
Frequency-Guided Spatial Adaptation for Camouflaged Object Detection Shizhou Zhang Dexuan Kong Yinghui Xing Yue Lu Lingyan Ran Guoqiang Liang Hexu Wang Yanning Zhang 30 5 0 19 Sep 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 45 1 0 17 Sep 2024
Organized Grouped Discrete Representation for Object-Centric Learning Rongzhen Zhao V. Wang Juho Kannala J. Pajarinen VOS OCL 44 1 0 05 Sep 2024
MacFormer: Semantic Segmentation with Fine Object Boundaries Guoan Xu Wenfeng Huang Tao Wu Ligeng Chen Wenjing Jia Guangwei Gao Xiatian Zhu Stuart W. Perry 36 0 0 11 Aug 2024
Octave-YOLO: Cross frequency detection network with octave convolution Sangjune Shin Dongkun Shin ObjD 33 0 0 29 Jul 2024
Sparse Refinement for Efficient High-Resolution Semantic Segmentation Zhijian Liu Zhuoyang Zhang Samir Khaki Shang Yang Haotian Tang Chenfeng Xu Kurt Keutzer Song Han SSeg 48 1 0 26 Jul 2024
OMR-NET: a two-stage octave multi-scale residual network for screen content image compression Shiqi Jiang Ting Ren Congrui Fu Shuai Li Hui Yuan 15 2 0 11 Jul 2024
Wavelet Convolutions for Large Receptive Fields Shahaf E. Finder Roy Amoyal Eran Treister O. Freifeld ViT MDE 22 51 0 08 Jul 2024
Grouped Discrete Representation Guides Object-Centric Learning Rongzhen Zhao V. Wang Juho Kannala J. Pajarinen OCL 33 1 0 01 Jul 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 42 20 0 21 May 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Yulin Wang Yang Yue Rui Lu Yizeng Han Shiji Song Gao Huang VLM 56 12 0 14 May 2024
KG-Planner: Knowledge-Informed Graph Neural Planning for Collaborative Manipulators Wansong Liu Kareem A. Eltouny Sibo Tian Xiao Liang Minghui Zheng 24 4 0 13 May 2024
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition Chenhongyi Yang Zehui Chen Miguel Espinosa Linus Ericsson Zhenyu Wang Jiaming Liu Elliot J. Crowley Mamba 36 86 0 26 Mar 2024
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion S. Casarin C. Ugwu Sergio Escalera O. Lanz 28 0 0 22 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 41 3 0 12 Mar 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture Fei Wang Dan Guo Kun Li Zhun Zhong Mengqing Wang 34 16 0 12 Mar 2024
Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching Xianqi Wang Gangwei Xu Hao Jia Xin Yang 19 41 0 01 Mar 2024
End-to-End Optimized Image Compression with the Frequency-Oriented Transform Yuefeng Zhang Kai Lin 16 2 0 16 Jan 2024
Left-right Discrepancy for Adversarial Attack on Stereo Networks Pengfei Wang Xiaofei Hui Beijia Lu Nimrod Lilith Jun Liu Sameer Alam AAML 22 2 0 14 Jan 2024
Find the Lady: Permutation and Re-Synchronization of Deep Neural Networks Carl De Sousa Trias Mihai P. Mitrea A. Fiandrotti Marco Cagnazzo Sumanta Chaudhuri Enzo Tartaglione 11 1 0 19 Dec 2023
Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks Alhassan Mabrouk R. D. Díaz Redondo Abdelghani Dahou M. A. Abd Elaziz Mohammed Kayed 13 90 0 13 Dec 2023
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer Joon-Byum Kwon Sooyoung Kim Yuewei Lin Shinjae Yoo Jiook Cha 29 10 0 10 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lió 16 1 0 30 Nov 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets Zhicheng Cai Xiaohan Ding Qiu Shen Xun Cao 27 18 0 16 Oct 2023
Speeding up Resnet Architecture with Layers Targeted Low Rank Decomposition Walid Ahmed Habib Hajimolahoseini Austin Wen Yang Liu 28 7 0 21 Sep 2023
Training Acceleration of Low-Rank Decomposed Networks using Sequential Freezing and Rank Quantization Habib Hajimolahoseini Walid Ahmed Yang Liu OffRL MQ 19 6 0 07 Sep 2023
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 26 20 0 27 Aug 2023
Frequency Perception Network for Camouflaged Object Detection Runmin Cong Mengyao Sun Sanyi Zhang Xiaofei Zhou Wei Zhang Yao-Min Zhao ObjD 26 54 0 17 Aug 2023
Frequency Disentangled Features in Neural Image Compression Ali Zafari Atefeh Khoshkhahtinat P. Mehta Mohammad Saeed Ebrahimi Saadabadi Mohammad Akyash Nasser M. Nasrabadi 42 14 0 04 Aug 2023
DRAW: Defending Camera-shooted RAW against Image Manipulation Xiaoxiao Hu Qichao Ying Zhenxing Qian Sheng Li Xinpeng Zhang AAML 32 7 0 31 Jul 2023
FalconNet: Factorization for the Light-weight ConvNets Zhicheng Cai Qiu Shen 24 11 0 10 Jun 2023
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution Wuxuan Shi Mang Ye Bo Du 10 16 0 01 Jun 2023
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model H. Iqbal Umar Khalid Jing Hua C. L. P. Chen DiffM MedIm 33 24 0 31 May 2023
Toward Real-World Light Field Super-Resolution Zeyu Xiao Ruisheng Gao Yutong Liu Yueyi Zhang Zhiwei Xiong SupR 19 9 0 30 May 2023
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation Wenxuan Wang Jing Wang C. L. P. Chen Jianbo Jiao Yuanxiu Cai Shanshan Song Jiangyun Li MedIm 23 18 0 21 Apr 2023
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression Wei Jiang Peirong Ning Jiayu Yang Yongqi Zhai Feng Gao Ronggang Wang 30 6 0 19 Apr 2023
Scale-Equivariant Deep Learning for 3D Data Thomas Wimmer Vladimir Golkov H. Dang Moritz Zaiss Andreas K. Maier Daniel Cremers 3DPC MedIm 18 5 0 12 Apr 2023
Deep Image Matting: A Comprehensive Survey Jizhizi Li Jing Zhang Dacheng Tao VLM 33 14 0 10 Apr 2023
FreConv: Frequency Branch-and-Integration Convolutional Networks Zhaowen Li Xu Zhao Peigeng Ding Zongxin Gao Yuting Yang Ming Tang Jinqiao Wang 23 2 0 10 Apr 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks Jierun Chen Shiu-hong Kao Hao He Weipeng Zhuo Song Wen Chul-Ho Lee Shueng-Han Gary Chan OOD 32 776 0 07 Mar 2023