Improving Food Image Recognition with Noisy Vision Transformer
Fuente:
arXiv
Saved in:
| Main Authors: | Ghosh, Tonmoy, Sazonov, Edward |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
by: Alam, Md. Zehan, et al.
Published: (2024)
by: Alam, Md. Zehan, et al.
Published: (2024)
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
by: Lai, Songjiang, et al.
Published: (2024)
by: Lai, Songjiang, et al.
Published: (2024)
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method
by: Ghosh, Tashmoy
Published: (2024)
by: Ghosh, Tashmoy
Published: (2024)
Representing Noisy Image Without Denoising
by: Qi, Shuren, et al.
Published: (2023)
by: Qi, Shuren, et al.
Published: (2023)
Powerful Lossy Compression for Noisy Images
by: Cai, Shilv, et al.
Published: (2024)
by: Cai, Shilv, et al.
Published: (2024)
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging
by: Lee, Byeonghyeon, et al.
Published: (2024)
by: Lee, Byeonghyeon, et al.
Published: (2024)
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
by: Zhang, Chaojie, et al.
Published: (2024)
by: Zhang, Chaojie, et al.
Published: (2024)
Skeleton-Based Human Action Recognition with Noisy Labels
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
Image Restoration Learning via Noisy Supervision in the Fourier Domain
by: Liu, Haosen, et al.
Published: (2025)
by: Liu, Haosen, et al.
Published: (2025)
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
by: Qiu, Peijie, et al.
Published: (2024)
by: Qiu, Peijie, et al.
Published: (2024)
Transformers in Medicine: Improving Vision-Language Alignment for Medical Image Captioning
by: Suresh, Yogesh Thakku, et al.
Published: (2025)
by: Suresh, Yogesh Thakku, et al.
Published: (2025)
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
by: Das, Badhan Kumar, et al.
Published: (2025)
by: Das, Badhan Kumar, et al.
Published: (2025)
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
by: Gan, Weijie, et al.
Published: (2023)
by: Gan, Weijie, et al.
Published: (2023)
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images
by: Lee, Ju Cheon, et al.
Published: (2024)
by: Lee, Ju Cheon, et al.
Published: (2024)
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation
by: Zhang, Mingya, et al.
Published: (2024)
by: Zhang, Mingya, et al.
Published: (2024)
ATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers
by: Ozgur, Guray, et al.
Published: (2026)
by: Ozgur, Guray, et al.
Published: (2026)
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
by: Malekmohammadi, Amin, et al.
Published: (2024)
by: Malekmohammadi, Amin, et al.
Published: (2024)
Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
by: Chen, Wentao, et al.
Published: (2024)
by: Chen, Wentao, et al.
Published: (2024)
From Attention to Frequency: Integration of Vision Transformer and FFT-ReLU for Enhanced Image Deblurring
by: Mahmud, Syed Mumtahin, et al.
Published: (2025)
by: Mahmud, Syed Mumtahin, et al.
Published: (2025)
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis
by: Tsiporenko, Illia, et al.
Published: (2024)
by: Tsiporenko, Illia, et al.
Published: (2024)
Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume
by: Zhou, Langrui, et al.
Published: (2024)
by: Zhou, Langrui, et al.
Published: (2024)
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
by: Verma, Ashish, et al.
Published: (2025)
by: Verma, Ashish, et al.
Published: (2025)
Shape-Preserving Generation of Food Images for Automatic Dietary Assessment
by: Chen, Guangzong, et al.
Published: (2024)
by: Chen, Guangzong, 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)
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)
by: Afshin, Pouya, et al.
Published: (2025)
AdaViT: Adaptive Vision Transformer for Flexible Pretrain and Finetune with Variable 3D Medical Image Modalities
by: Das, Badhan Kumar, et al.
Published: (2025)
by: Das, Badhan Kumar, et al.
Published: (2025)
Staged Voxel-Level Deep Reinforcement Learning for 3D Medical Image Segmentation with Noisy Annotations
by: Fu, Yuyang, et al.
Published: (2026)
by: Fu, Yuyang, et al.
Published: (2026)
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation
by: Gan, Dongwei, et al.
Published: (2024)
by: Gan, Dongwei, et al.
Published: (2024)
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices
by: Li, Xin, et al.
Published: (2024)
by: Li, Xin, et al.
Published: (2024)
IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-Resolution
by: Aghelan, Alireza, et al.
Published: (2024)
by: Aghelan, Alireza, et al.
Published: (2024)
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data
by: Xu, Xichen, et al.
Published: (2025)
by: Xu, Xichen, et al.
Published: (2025)
EX-FIQA: Leveraging Intermediate Early eXit Representations from Vision Transformers for Face Image Quality Assessment
by: Ozgur, Guray, et al.
Published: (2026)
by: Ozgur, Guray, et al.
Published: (2026)
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
by: Dong, Bo, et al.
Published: (2021)
by: Dong, Bo, et al.
Published: (2021)
Hibou: A Family of Foundational Vision Transformers for Pathology
by: Nechaev, Dmitry, et al.
Published: (2024)
by: Nechaev, Dmitry, et al.
Published: (2024)
DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
by: Khan, Muazzem Hussain, et al.
Published: (2026)
by: Khan, Muazzem Hussain, et al.
Published: (2026)
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images
by: Kundu, Bipasha, et al.
Published: (2024)
by: Kundu, Bipasha, et al.
Published: (2024)
Versatile Defense Against Adversarial Attacks on Image Recognition
by: Zhang, Haibo, et al.
Published: (2024)
by: Zhang, Haibo, et al.
Published: (2024)
Poisson Informed Retinex Network for Extreme Low-Light Image Enhancement
by: Rao, Isha, et al.
Published: (2025)
by: Rao, Isha, et al.
Published: (2025)
Semiconductor Wafer Map Defect Classification with Tiny Vision Transformers
by: Mohammad, Faisal, et al.
Published: (2025)
by: Mohammad, Faisal, et al.
Published: (2025)
Fine-Grained Cat Breed Recognition with Global Context Vision Transformer
by: Hera, Mowmita Parvin, et al.
Published: (2026)
by: Hera, Mowmita Parvin, et al.
Published: (2026)
Similar Items
-
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
by: Alam, Md. Zehan, et al.
Published: (2024) -
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
by: Lai, Songjiang, et al.
Published: (2024) -
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method
by: Ghosh, Tashmoy
Published: (2024) -
Representing Noisy Image Without Denoising
by: Qi, Shuren, et al.
Published: (2023) -
Powerful Lossy Compression for Noisy Images
by: Cai, Shilv, et al.
Published: (2024)