SegFormer Fine-Tuning with Dropout: Advancing Hair Artifact Removal in Skin Lesion Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Saad, Asif Mohammed, Mahi, Umme Niraj |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Window to Wall Ratio Detection using SegFormer
by: De Simone, Zoe, et al.
Published: (2024)
by: De Simone, Zoe, et al.
Published: (2024)
DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026)
by: Zhu, Kevin, et al.
Published: (2026)
Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance
by: Rawat, Dhruvraj Singh, et al.
Published: (2025)
by: Rawat, Dhruvraj Singh, et al.
Published: (2025)
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
by: Dosi, Andrea, et al.
Published: (2024)
by: Dosi, Andrea, et al.
Published: (2024)
ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
by: Torbati, Nima, et al.
Published: (2025)
by: Torbati, Nima, et al.
Published: (2025)
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
by: Perera, Shehan, et al.
Published: (2024)
by: Perera, Shehan, et al.
Published: (2024)
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer
by: Spasev, Vlatko, et al.
Published: (2024)
by: Spasev, Vlatko, et al.
Published: (2024)
Fine-tuning with Very Large Dropout
by: Zhang, Jianyu, et al.
Published: (2024)
by: Zhang, Jianyu, et al.
Published: (2024)
DSCformer: A Dual-Branch Network Integrating Enhanced Dynamic Snake Convolution and SegFormer for Crack Segmentation
by: Yu, Kaiwei, et al.
Published: (2024)
by: Yu, Kaiwei, et al.
Published: (2024)
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
by: Mittal, Avni, et al.
Published: (2025)
by: Mittal, Avni, et al.
Published: (2025)
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation
by: Basaran, Berke Doga, et al.
Published: (2024)
by: Basaran, Berke Doga, et al.
Published: (2024)
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
by: Peleg, Amit, et al.
Published: (2025)
by: Peleg, Amit, et al.
Published: (2025)
Equivariant-Aware Structured Pruning for Efficient Edge Deployment: A Comprehensive Framework with Adaptive Fine-Tuning
by: Alnemari, Mohammed
Published: (2025)
by: Alnemari, Mohammed
Published: (2025)
Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation
by: Ahmed, Fatimaelzahraa, et al.
Published: (2025)
by: Ahmed, Fatimaelzahraa, et al.
Published: (2025)
CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
by: Yao, Zhenquan, et al.
Published: (2026)
by: Yao, Zhenquan, et al.
Published: (2026)
NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild
by: Dagli, Rishit, et al.
Published: (2024)
by: Dagli, Rishit, et al.
Published: (2024)
Generative Autoencoding of Dropout Patterns
by: Maeda, Shunta
Published: (2023)
by: Maeda, Shunta
Published: (2023)
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
by: Tai, Chi-en Amy, et al.
Published: (2024)
by: Tai, Chi-en Amy, et al.
Published: (2024)
MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification
by: Sibhai, Mohammed Maaz, et al.
Published: (2026)
by: Sibhai, Mohammed Maaz, et al.
Published: (2026)
On the Robustness Tradeoff in Fine-Tuning
by: Li, Kunyang, et al.
Published: (2025)
by: Li, Kunyang, et al.
Published: (2025)
MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head
by: Wang, Fangyijie, et al.
Published: (2024)
by: Wang, Fangyijie, et al.
Published: (2024)
Adapt, But Don't Forget: Fine-Tuning and Contrastive Routing for Lane Detection under Distribution Shift
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)
A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis
by: Patrício, Cristiano, et al.
Published: (2024)
by: Patrício, Cristiano, et al.
Published: (2024)
ToonOut: Fine-tuned Background-Removal for Anime Characters
by: Muratori, Matteo, et al.
Published: (2025)
by: Muratori, Matteo, et al.
Published: (2025)
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
by: Zhao, Zengqun, et al.
Published: (2025)
by: Zhao, Zengqun, et al.
Published: (2025)
Spectral Wavelet Dropout: Regularization in the Wavelet Domain
by: Cakaj, Rinor, et al.
Published: (2024)
by: Cakaj, Rinor, et al.
Published: (2024)
Evidential Federated Learning for Skin Lesion Image Classification
by: Hendrix, Rutger, et al.
Published: (2024)
by: Hendrix, Rutger, et al.
Published: (2024)
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation
by: Wang, Janet, et al.
Published: (2023)
by: Wang, Janet, et al.
Published: (2023)
Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
Selecting Fine-Tuning Examples by Quizzing VLMs
by: Ji, Tenghao, et al.
Published: (2025)
by: Ji, Tenghao, et al.
Published: (2025)
A Multi-Task Deep Learning Framework for Skin Lesion Classification, ABCDE Feature Quantification, and Evolution Simulation
by: Kotla, Harsha, et al.
Published: (2025)
by: Kotla, Harsha, et al.
Published: (2025)
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints
by: Basaran, Berke Doga, et al.
Published: (2024)
by: Basaran, Berke Doga, et al.
Published: (2024)
Fine-Tuning is Fine, if Calibrated
by: Mai, Zheda, et al.
Published: (2024)
by: Mai, Zheda, et al.
Published: (2024)
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training
by: Sathiyanarayanan, Shriram M, et al.
Published: (2025)
by: Sathiyanarayanan, Shriram M, et al.
Published: (2025)
Study of Dropout in PointPillars with 3D Object Detection
by: Sun, Xiaoxiang, et al.
Published: (2024)
by: Sun, Xiaoxiang, et al.
Published: (2024)
AutoFT: Learning an Objective for Robust Fine-Tuning
by: Choi, Caroline, et al.
Published: (2024)
by: Choi, Caroline, et al.
Published: (2024)
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
by: Clark, Kevin, et al.
Published: (2023)
by: Clark, Kevin, et al.
Published: (2023)
Towards Understanding Multimodal Fine-Tuning: Spatial Features
by: Naghashyar, Lachin, et al.
Published: (2026)
by: Naghashyar, Lachin, et al.
Published: (2026)
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
by: Shi, Jiang-Xin, et al.
Published: (2025)
by: Shi, Jiang-Xin, et al.
Published: (2025)
Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning
by: Christopoulos, Dionysis, et al.
Published: (2025)
by: Christopoulos, Dionysis, et al.
Published: (2025)
Similar Items
-
Window to Wall Ratio Detection using SegFormer
by: De Simone, Zoe, et al.
Published: (2024) -
DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026) -
Enhancing Diffusion Face Generation with Contrastive Embeddings and SegFormer Guidance
by: Rawat, Dhruvraj Singh, et al.
Published: (2025) -
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
by: Dosi, Andrea, et al.
Published: (2024) -
ACS-SegNet: An Attention-Based CNN-SegFormer Segmentation Network for Tissue Segmentation in Histopathology
by: Torbati, Nima, et al.
Published: (2025)