Is Architectural Complexity Always the Answer? A Case Study on SwinIR vs. an Efficient CNN
Fuente:
arXiv
Saved in:
| Main Authors: | Sutariya, Chandresh, Singh, Nitin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
by: Shankar, Kaaustaaub, et al.
Published: (2026)
by: Shankar, Kaaustaaub, et al.
Published: (2026)
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
by: Sun, Weigao, et al.
Published: (2025)
by: Sun, Weigao, et al.
Published: (2025)
Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
by: Murphy, Gary, et al.
Published: (2024)
by: Murphy, Gary, et al.
Published: (2024)
Residual-SwinCA-Net: A Channel-Aware Integrated Residual CNN-Swin Transformer for Malignant Lesion Segmentation in BUSI
by: Naz, Saeeda, et al.
Published: (2025)
by: Naz, Saeeda, et al.
Published: (2025)
MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
by: Sarker, Sushmita, et al.
Published: (2024)
by: Sarker, Sushmita, et al.
Published: (2024)
DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification
by: Saood, Shah, et al.
Published: (2026)
by: Saood, Shah, et al.
Published: (2026)
Yuan-TecSwin: A text conditioned Diffusion model with Swin-transformer blocks
by: Wu, Shaohua, et al.
Published: (2025)
by: Wu, Shaohua, et al.
Published: (2025)
A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
by: Sarma, Moumita Sen, et al.
Published: (2026)
by: Sarma, Moumita Sen, et al.
Published: (2026)
RS-FME-SwinT: A Novel Feature Map Enhancement Framework Integrating Customized SwinT with Residual and Spatial CNN for Monkeypox Diagnosis
by: Khan, Saddam Hussain, et al.
Published: (2024)
by: Khan, Saddam Hussain, et al.
Published: (2024)
DualSwinUnet++: An Enhanced Swin-Unet Architecture With Dual Decoders For PTMC Segmentation
by: Dialameh, Maryam, et al.
Published: (2024)
by: Dialameh, Maryam, et al.
Published: (2024)
SwinIFS: Landmark Guided Swin Transformer For Identity Preserving Face Super Resolution
by: Kausar, Habiba, et al.
Published: (2026)
by: Kausar, Habiba, et al.
Published: (2026)
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement
by: Alavala, Sasidhar, et al.
Published: (2024)
by: Alavala, Sasidhar, et al.
Published: (2024)
Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers
by: Haftlang, Morteza Kiani, et al.
Published: (2025)
by: Haftlang, Morteza Kiani, et al.
Published: (2025)
SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery
by: Nakayama, Yohei, et al.
Published: (2024)
by: Nakayama, Yohei, et al.
Published: (2024)
SparseSwin: Swin Transformer with Sparse Transformer Block
by: Pinasthika, Krisna, et al.
Published: (2023)
by: Pinasthika, Krisna, et al.
Published: (2023)
A Compact and Efficient 1.251 Million Parameter Machine Learning CNN Model PD36-C for Plant Disease Detection: A Case Study
by: Sherifi, Shkelqim
Published: (2026)
by: Sherifi, Shkelqim
Published: (2026)
SwinECAT: A Transformer-based fundus disease classification model with Shifted Window Attention and Efficient Channel Attention
by: Gu, Peiran, et al.
Published: (2025)
by: Gu, Peiran, et al.
Published: (2025)
Text Embedded Swin-UMamba for DeepLesion Segmentation
by: Cheng, Ruida, et al.
Published: (2025)
by: Cheng, Ruida, et al.
Published: (2025)
Pre-Trained CNN Architecture for Transformer-Based Image Caption Generation Model
by: Dufera, Amanuel Tafese
Published: (2025)
by: Dufera, Amanuel Tafese
Published: (2025)
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification
by: Basyal, Ganga Prasad, et al.
Published: (2024)
by: Basyal, Ganga Prasad, et al.
Published: (2024)
MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification
by: Cheon, Minjong, et al.
Published: (2025)
by: Cheon, Minjong, et al.
Published: (2025)
Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation
by: Chen, Haotian, et al.
Published: (2025)
by: Chen, Haotian, et al.
Published: (2025)
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
by: Yin, Jun, et al.
Published: (2025)
by: Yin, Jun, et al.
Published: (2025)
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation
by: Ahmadi, Rozhan, et al.
Published: (2024)
by: Ahmadi, Rozhan, et al.
Published: (2024)
SwinSF: Image Reconstruction from Spatial-Temporal Spike Streams
by: Jiang, Liangyan, et al.
Published: (2024)
by: Jiang, Liangyan, et al.
Published: (2024)
ECMNet:Lightweight Semantic Segmentation with Efficient CNN-Mamba Network
by: Du, Feixiang, et al.
Published: (2025)
by: Du, Feixiang, et al.
Published: (2025)
Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
by: Singh, Balram, et al.
Published: (2025)
by: Singh, Balram, et al.
Published: (2025)
GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting
by: Wu, Yuzhe, et al.
Published: (2024)
by: Wu, Yuzhe, et al.
Published: (2024)
CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction
by: Jin, Hyeonseok
Published: (2026)
by: Jin, Hyeonseok
Published: (2026)
CNN2GNN: How to Bridge CNN with GNN
by: Jiao, Ziheng, et al.
Published: (2024)
by: Jiao, Ziheng, et al.
Published: (2024)
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity
by: Quan, Wuzhou, et al.
Published: (2025)
by: Quan, Wuzhou, et al.
Published: (2025)
Improving Bird Classification with Primary Color Additives
by: R, Ezhini Rasendiran, et al.
Published: (2025)
by: R, Ezhini Rasendiran, et al.
Published: (2025)
Optimizing CNN Architectures for Advanced Thoracic Disease Classification
by: Mirthipati, Tejas
Published: (2025)
by: Mirthipati, Tejas
Published: (2025)
3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer
by: Yu, Hongkun, et al.
Published: (2025)
by: Yu, Hongkun, et al.
Published: (2025)
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
by: Zeng, Chengxi, et al.
Published: (2023)
by: Zeng, Chengxi, et al.
Published: (2023)
Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks
by: Hasan, Mahmudul, et al.
Published: (2026)
by: Hasan, Mahmudul, et al.
Published: (2026)
Normalized vs Diplomatic Annotation: A Case Study of Automatic Information Extraction from Handwritten Uruguayan Birth Certificates
by: Bottaioli, Natalia, et al.
Published: (2025)
by: Bottaioli, Natalia, et al.
Published: (2025)
Building Efficient Lightweight CNN Models
by: Isong, Nathan
Published: (2025)
by: Isong, Nathan
Published: (2025)
An Efficient System for Automatic Map Storytelling -- A Case Study on Historical Maps
by: Liu, Ziyi, et al.
Published: (2024)
by: Liu, Ziyi, et al.
Published: (2024)
Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather
by: Jiang, Kui, et al.
Published: (2025)
by: Jiang, Kui, et al.
Published: (2025)
Similar Items
-
A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
by: Shankar, Kaaustaaub, et al.
Published: (2026) -
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
by: Sun, Weigao, et al.
Published: (2025) -
Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
by: Murphy, Gary, et al.
Published: (2024) -
Residual-SwinCA-Net: A Channel-Aware Integrated Residual CNN-Swin Transformer for Malignant Lesion Segmentation in BUSI
by: Naz, Saeeda, et al.
Published: (2025) -
MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
by: Sarker, Sushmita, et al.
Published: (2024)