Cover Image

Efficient generative adversarial networks using linear additive-attention Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Morales-Juarez, Emilio, Fuentes-Pineda, Gibran
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MetaChest: Generalized few-shot learning of pathologies from chest X-rays
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)

Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks
by: Dahari, Amir, et al.
Published: (2021)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
by: Perera, Maneesha, et al.
Published: (2024)

P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
by: David, Lucas, et al.
Published: (2023)

An attempt to generate new bridge types from latent space of generative adversarial network
by: Zhang, Hongjun
Published: (2024)

Are classical deep neural networks weakly adversarially robust?
by: Sun, Nuolin, et al.
Published: (2025)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

In-distribution adversarial attacks on object recognition models using gradient-free search
by: Madan, Spandan, et al.
Published: (2021)

A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
by: Zhong, Yihao, et al.
Published: (2024)

Spectral regularization for adversarially-robust representation learning
by: Yang, Sheng, et al.
Published: (2024)

3D Wasserstein generative adversarial network with dense U-Net based discriminator for preclinical fMRI denoising
by: Soltanpour, Sima, et al.
Published: (2024)

D2R: dual regularization loss with collaborative adversarial generation for model robustness
by: Liu, Zhenyu, et al.
Published: (2025)

HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection
by: Hogg, Aidan O. T., et al.
Published: (2023)

Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
by: Fort, Stanislav, et al.
Published: (2024)

Towards more transferable adversarial attack in black-box manner
by: Lei, Chun Tong, et al.
Published: (2025)

A practical approach to evaluating the adversarial distance for machine learning classifiers
by: Siedel, Georg, et al.
Published: (2024)

SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction
by: Yin, Huilin, et al.
Published: (2024)

Sparse patches adversarial attacks via extrapolating point-wise information
by: Nemcovsky, Yaniv, et al.
Published: (2024)

A solvable generative model with a linear, one-step denoiser
by: Halder, Indranil
Published: (2024)

QUEST: A robust attention formulation using query-modulated spherical attention
by: Govindarajan, Hariprasath, et al.
Published: (2026)

MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation
by: Niu, Penghui, et al.
Published: (2025)

The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
by: Bastounis, Alexander, et al.
Published: (2021)

A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs
by: Stalder, Nicolas, et al.
Published: (2026)

Enhancing compact convolutional transformers with super attention
by: Leandre, Simpenzwe Honore, et al.
Published: (2025)

CDAN: Convolutional dense attention-guided network for low-light image enhancement
by: Shakibania, Hossein, et al.
Published: (2023)

DensePANet: An improved generative adversarial network for photoacoustic tomography image reconstruction from sparse data
by: Hakimnejad, Hesam, et al.
Published: (2024)

Pruning Self-attentions into Convolutional Layers in Single Path
by: He, Haoyu, et al.
Published: (2021)

Vision Transformer attention alignment with human visual perception in aesthetic object evaluation
by: Carrasco, Miguel, et al.
Published: (2025)

Efficient Visual Transformer by Learnable Token Merging
by: Wang, Yancheng, et al.
Published: (2024)

Robust width: A lightweight and certifiable adversarial defense
by: Peck, Jonathan, et al.
Published: (2024)

Trainwreck: A damaging adversarial attack on image classifiers
by: Zahálka, Jan
Published: (2023)

Benford's law: what does it say on adversarial images?
by: Zago, João G., et al.
Published: (2021)

Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows
by: Huo, Simin, et al.
Published: (2025)

Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition
by: Hayashi, Sergio Y., et al.
Published: (2024)

EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
by: Becker, Philipp, et al.
Published: (2025)

Eff-GRot: Efficient and Generalizable Rotation Estimation with Transformers
by: Mathioulakis, Fanis, et al.
Published: (2025)

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
by: Kuhn, Lukas, et al.
Published: (2025)

ADBM: Adversarial diffusion bridge model for reliable adversarial purification
by: Li, Xiao, et al.
Published: (2024)

Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation
by: Yao, Manyi, et al.
Published: (2024)

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
by: Gabetni, Firas, et al.
Published: (2025)