ReLUs Are Sufficient for Learning Implicit Neural Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Shenouda, Joseph, Zhou, Yamin, Nowak, Robert D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust multi-coil MRI reconstruction via self-supervised denoising
by: Aali, Asad, et al.
Published: (2024)
by: Aali, Asad, et al.
Published: (2024)
The Protocol Genome A Self Supervised Learning Framework from DICOM Headers
by: Joseph, Jimmy
Published: (2025)
by: Joseph, Jimmy
Published: (2025)
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
by: Li, Xiao, et al.
Published: (2022)
by: Li, Xiao, et al.
Published: (2022)
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
by: Dannecker, Maik, et al.
Published: (2025)
by: Dannecker, Maik, et al.
Published: (2025)
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression
by: Cho, Woojin, et al.
Published: (2025)
by: Cho, Woojin, et al.
Published: (2025)
Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
by: Kim, Namhoon, et al.
Published: (2025)
by: Kim, Namhoon, et al.
Published: (2025)
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges
by: Amiri, Ali, et al.
Published: (2024)
by: Amiri, Ali, et al.
Published: (2024)
A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning
by: Liu, Changyu, et al.
Published: (2026)
by: Liu, Changyu, et al.
Published: (2026)
Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach
by: Zhou, Chao, et al.
Published: (2025)
by: Zhou, Chao, et al.
Published: (2025)
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
by: Singh, Azad, et al.
Published: (2024)
by: Singh, Azad, et al.
Published: (2024)
Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations
by: Xu, Di, et al.
Published: (2025)
by: Xu, Di, et al.
Published: (2025)
3D ReX: Causal Explanations in 3D Neuroimaging Classification
by: Navaratnarajah, Melane, et al.
Published: (2025)
by: Navaratnarajah, Melane, et al.
Published: (2025)
Magnification-Aware Distillation (MAD): A Self-Supervised Framework for Unified Representation Learning in Gigapixel Whole-Slide Images
by: Gokmen, Mahmut S., et al.
Published: (2025)
by: Gokmen, Mahmut S., et al.
Published: (2025)
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
by: Asokan, Mothilal, et al.
Published: (2024)
by: Asokan, Mothilal, et al.
Published: (2024)
MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
by: Jiang, Hongxu, et al.
Published: (2023)
by: Jiang, Hongxu, et al.
Published: (2023)
FUTON: Fourier Tensor Network for Implicit Neural Representations
by: Ashtari, Pooya, et al.
Published: (2026)
by: Ashtari, Pooya, et al.
Published: (2026)
ReCAP: Recursive Cross Attention Network for Pseudo-Label Generation in Robotic Surgical Skill Assessment
by: Quarez, Julien, et al.
Published: (2024)
by: Quarez, Julien, et al.
Published: (2024)
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
by: Díaz-Pernas, Francisco Javier, et al.
Published: (2024)
by: Díaz-Pernas, Francisco Javier, et al.
Published: (2024)
HYDEN: Hyperbolic Density Representations for Medical Images and Reports
by: Qiao, Zhi, et al.
Published: (2024)
by: Qiao, Zhi, et al.
Published: (2024)
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning
by: Judge, Arnaud, et al.
Published: (2024)
by: Judge, Arnaud, et al.
Published: (2024)
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
by: Ekanayake, Mevan, et al.
Published: (2024)
by: Ekanayake, Mevan, et al.
Published: (2024)
MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2025)
by: Roy, Saikat, et al.
Published: (2025)
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
by: Benjamin, Joseph Geo, et al.
Published: (2024)
by: Benjamin, Joseph Geo, et al.
Published: (2024)
Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation
by: Shakarami, Ashkan, et al.
Published: (2025)
by: Shakarami, Ashkan, et al.
Published: (2025)
Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction
by: Zhang, Haonan, et al.
Published: (2025)
by: Zhang, Haonan, et al.
Published: (2025)
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels
by: Xu, Moucheng, et al.
Published: (2024)
by: Xu, Moucheng, et al.
Published: (2024)
OpenHAIV: A Framework Towards Practical Open-World Learning
by: Xiang, Xiang, et al.
Published: (2025)
by: Xiang, Xiang, et al.
Published: (2025)
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
by: Lee, Changwoo, et al.
Published: (2023)
by: Lee, Changwoo, et al.
Published: (2023)
Neural Video Compression using 2D Gaussian Splatting
by: Gupta, Lakshya, et al.
Published: (2025)
by: Gupta, Lakshya, et al.
Published: (2025)
Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
by: Ling, Hang Jung, et al.
Published: (2024)
by: Ling, Hang Jung, et al.
Published: (2024)
ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
by: Wang, Xinpeng, et al.
Published: (2025)
by: Wang, Xinpeng, et al.
Published: (2025)
DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations
by: He, Xuming, et al.
Published: (2024)
by: He, Xuming, et al.
Published: (2024)
Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks
by: Qiu, Changyuan, et al.
Published: (2025)
by: Qiu, Changyuan, et al.
Published: (2025)
Dynamic Neural Style Transfer for Artistic Image Generation using VGG19
by: Kashyap, Kapil, et al.
Published: (2025)
by: Kashyap, Kapil, et al.
Published: (2025)
Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
by: Okonoda, Michael, et al.
Published: (2026)
by: Okonoda, Michael, et al.
Published: (2026)
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
by: Hemidi, Ziad Al-Haj, et al.
Published: (2024)
by: Hemidi, Ziad Al-Haj, et al.
Published: (2024)
A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
by: Kalsoom, Atifa, et al.
Published: (2025)
by: Kalsoom, Atifa, et al.
Published: (2025)
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
by: Ahmed, Maryam, et al.
Published: (2024)
by: Ahmed, Maryam, et al.
Published: (2024)
CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures
by: Gao, Shan, et al.
Published: (2025)
by: Gao, Shan, et al.
Published: (2025)
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
by: Dang, Khoi Tran, et al.
Published: (2024)
by: Dang, Khoi Tran, et al.
Published: (2024)
Similar Items
-
Robust multi-coil MRI reconstruction via self-supervised denoising
by: Aali, Asad, et al.
Published: (2024) -
The Protocol Genome A Self Supervised Learning Framework from DICOM Headers
by: Joseph, Jimmy
Published: (2025) -
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
by: Li, Xiao, et al.
Published: (2022) -
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
by: Dannecker, Maik, et al.
Published: (2025) -
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression
by: Cho, Woojin, et al.
Published: (2025)