A Comparative Transfer-Learning Study of CNN Backbones for Partial Face Recognition on the SoF Dataset

arXiv:2609.31677 · cs.CV, cs.AI · Submitted 2026-09-16 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-16

Updated: 2026-09-16

Comments: 6 pages, 1 figure, 3 tables, accepted at The 6th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2026)

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

Terminology

• Accuracy — 31× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Adam — 5× in this paper · explained in 2 episodes
• Transfer Learning — 4× in this paper · explained in 10 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Face Transformer for Recognition
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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