Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
Fuente:
arXiv
Saved in:
| Main Authors: | Ji, Ronglei, Tekalp, A. Murat |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks
by: Ji, Ronglei, et al.
Published: (2024)
by: Ji, Ronglei, et al.
Published: (2024)
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
by: Yilmaz, M. Akin, et al.
Published: (2025)
by: Yilmaz, M. Akin, et al.
Published: (2025)
FG-DFPN: Flow Guided Deformable Frame Prediction Network
by: Yılmaz, M. Akın, et al.
Published: (2025)
by: Yılmaz, M. Akın, et al.
Published: (2025)
PAON: A New Neuron Model using Padé Approximants
by: Keleş, Onur, et al.
Published: (2024)
by: Keleş, Onur, et al.
Published: (2024)
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
by: Korkmaz, Cansu, et al.
Published: (2024)
by: Korkmaz, Cansu, et al.
Published: (2024)
Padé Neurons for Efficient Neural Models
by: Keleş, Onur, et al.
Published: (2026)
by: Keleş, Onur, et al.
Published: (2026)
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
by: Korkmaz, Cansu, et al.
Published: (2024)
by: Korkmaz, Cansu, et al.
Published: (2024)
Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback
by: Korkmaz, Cansu, et al.
Published: (2024)
by: Korkmaz, Cansu, et al.
Published: (2024)
The Practice of Averaging Rate-Distortion Curves over Testsets to Compare Learned Video Codecs Can Cause Misleading Conclusions
by: Yilmaz, M. Akin, et al.
Published: (2024)
by: Yilmaz, M. Akin, et al.
Published: (2024)
Edit2Restore:Few-Shot Image Restoration via Parameter-Efficient Adaptation of Pre-trained Editing Models
by: Yılmaz, M. Akın, et al.
Published: (2026)
by: Yılmaz, M. Akın, et al.
Published: (2026)
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-Resolution
by: Li, Yuzhen, et al.
Published: (2024)
by: Li, Yuzhen, et al.
Published: (2024)
LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction
by: Yu, Zhongxin, et al.
Published: (2024)
by: Yu, Zhongxin, et al.
Published: (2024)
Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpening
by: Pereira-Sánchez, Ivan, et al.
Published: (2024)
by: Pereira-Sánchez, Ivan, et al.
Published: (2024)
Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance
by: Kwon, Ryan Donghan, et al.
Published: (2024)
by: Kwon, Ryan Donghan, et al.
Published: (2024)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)
by: Rahman, Md Mostafijur, et al.
Published: (2024)
TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration
by: Wu, Nian, et al.
Published: (2024)
by: Wu, Nian, et al.
Published: (2024)
Enhanced Tuberculosis Bacilli Detection using Attention-Residual U-Net and Ensemble Classification
by: K, Greeshma, et al.
Published: (2025)
by: K, Greeshma, et al.
Published: (2025)
Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
by: Yang, Jincheng, et al.
Published: (2024)
by: Yang, Jincheng, et al.
Published: (2024)
MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations
by: Li, Ruizhe, et al.
Published: (2024)
by: Li, Ruizhe, et al.
Published: (2024)
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction
by: Zheng, Zhiting, et al.
Published: (2025)
by: Zheng, Zhiting, et al.
Published: (2025)
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
by: Hu, Shuai, et al.
Published: (2024)
by: Hu, Shuai, et al.
Published: (2024)
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
by: Soraki, Rustin, et al.
Published: (2025)
by: Soraki, Rustin, et al.
Published: (2025)
Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN
by: Danier, Duolikun, et al.
Published: (2022)
by: Danier, Duolikun, et al.
Published: (2022)
Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition
by: Huang, Zhengyong, et al.
Published: (2026)
by: Huang, Zhengyong, et al.
Published: (2026)
Two-stage Progressive Residual Dense Attention Network for Image Denoising
by: Wu, Wencong, et al.
Published: (2024)
by: Wu, Wencong, et al.
Published: (2024)
Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention
by: Shang, Liang, et al.
Published: (2025)
by: Shang, Liang, et al.
Published: (2025)
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)
by: Muhammad, Usman, et al.
Published: (2025)
NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention Mechanisms
by: Kumar, Gurucharan Marthi Krishna, et al.
Published: (2024)
by: Kumar, Gurucharan Marthi Krishna, et al.
Published: (2024)
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
by: Ma, Xinke, et al.
Published: (2025)
by: Ma, Xinke, et al.
Published: (2025)
Enhancing Generalized Fetal Brain MRI Segmentation using A Cascade Network with Depth-wise Separable Convolution and Attention Mechanism
by: Cai, Zhigao, et al.
Published: (2024)
by: Cai, Zhigao, et al.
Published: (2024)
Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network
by: Jo, Chris Hyunchul, et al.
Published: (2024)
by: Jo, Chris Hyunchul, et al.
Published: (2024)
Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
by: Jain, Rohit Kumar, et al.
Published: (2021)
by: Jain, Rohit Kumar, et al.
Published: (2021)
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
by: Xu, Jing
Published: (2023)
by: Xu, Jing
Published: (2023)
Block-Based Multi-Scale Image Rescaling
by: Li, Jian, et al.
Published: (2024)
by: Li, Jian, et al.
Published: (2024)
Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images: Leveraging Contextual Attention and Residual Learning
by: Tabassian, Mahdi, et al.
Published: (2024)
by: Tabassian, Mahdi, et al.
Published: (2024)
MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
by: Yadav, Nand Kumar, et al.
Published: (2025)
by: Yadav, Nand Kumar, et al.
Published: (2025)
Skin Cancer Recognition using Deep Residual Network
by: Rokad, Brij, et al.
Published: (2019)
by: Rokad, Brij, et al.
Published: (2019)
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
by: Wodzinski, Marek, et al.
Published: (2024)
by: Wodzinski, Marek, et al.
Published: (2024)
KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation
by: Zhao, Zhihao, et al.
Published: (2024)
by: Zhao, Zhihao, et al.
Published: (2024)
YOLO11-CR: a Lightweight Convolution-and-Attention Framework for Accurate Fatigue Driving Detection
by: Jin, Zhebin, et al.
Published: (2025)
by: Jin, Zhebin, et al.
Published: (2025)
Similar Items
-
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks
by: Ji, Ronglei, et al.
Published: (2024) -
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
by: Yilmaz, M. Akin, et al.
Published: (2025) -
FG-DFPN: Flow Guided Deformable Frame Prediction Network
by: Yılmaz, M. Akın, et al.
Published: (2025) -
PAON: A New Neuron Model using Padé Approximants
by: Keleş, Onur, et al.
Published: (2024) -
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
by: Korkmaz, Cansu, et al.
Published: (2024)