Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics

arXiv:2609.01749 · cs.CV, cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Comments: 12 pages, 2 figures, 1 table. Presented at the International Conference on Computational Techniques in Data Science (IICTDS 2025), online. Proceedings forthcoming

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 47× in this paper · explained in 2 episodes
• Accuracy — 15× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 4× in this paper · explained in 2 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Hybrid Architectures — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Transfer Learning — 3× in this paper · explained in 10 episodes
• Contextual Understanding — 2× in this paper · explained in 2 episodes
• Hybrid Models — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Error Level Analysis — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models