LENS-GRF: Permutation-Invariant Lesion Evidence Network with Gated Residual Fusion for Acne Severity Grading and Multi-Rater Clinical Oracle Analysis

arXiv:2610.00294 · cs.CV, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/rwightman/pytorch-image-models

Terminology

Accuracy — 55× in this paper · explained in 1 episode
Transformer — 34× in this paper · explained in 2 episodes
Gated Residual Fusion — 18× in this paper
Benchmark — 13× in this paper · explained in 2 episodes
Ablation — 12× in this paper · explained in 1 episode
Domain Shift — 8× in this paper · explained in 4 episodes
Adaptive Facial Skin Segmentation — 6× in this paper
External Validation — 6× in this paper · explained in 2 episodes
Regularization — 6× in this paper · explained in 3 episodes
Aggregation — 5× in this paper · explained in 1 episode
Distillation — 4× in this paper · explained in 2 episodes
Quadratic Weighted Kappa — 4× in this paper
Computer Vision and Pattern Recognition — 3× in this paper
Consistency — 3× in this paper · explained in 3 episodes
Adaptation — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Calibration — 2× in this paper · explained in 7 episodes
Clustering — 2× in this paper · explained in 2 episodes
Diagnostic Evidence Distillation — 2× in this paper
Embeddings — 2× in this paper · explained in 2 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Hybrid System — 2× in this paper · explained in 2 episodes
Label Distribution Learning — 2× in this paper
Latent Space — 2× in this paper · explained in 7 episodes
Pruning — 2× in this paper · explained in 4 episodes
Robustness — 2× in this paper · explained in 5 episodes
Self-Supervised Learning — 2× in this paper · explained in 8 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
American International University-Bangladesh — 1× in this paper
Annotation Errors — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 3 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Feature Selection — 1× in this paper · explained in 4 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Frozen model — 1× in this paper · explained in 3 episodes
Gaussian Error Linear Unit — 1× in this paper
Generalizability — 1× in this paper · explained in 6 episodes
Generalization — 1× in this paper · explained in 13 episodes
International Conference on Computer Vision — 1× in this paper
Interpretability — 1× in this paper · explained in 15 episodes
Layer Normalization — 1× in this paper
Mean Absolute Error — 1× in this paper
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
You Only Look Once — 1× in this paper
alpha — 1× in this paper · explained in 1 episode

Sources

YOLOv12: Attention-Centric Real-Time Object Detectors

Terminology

Sources

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