SeetaPsych v1.0: An Open-source Computer Vision Toolkit for Behavior-based Psychological Measurement

arXiv:2609.19719 · cs.CV · Submitted 2026-09-17 · Read on arXiv

cs.CV

Submitted: 2026-09-17

Updated: 2026-09-17

Code: https://github.com/seetapsych/seetapsych-lib

Terminology

Core — 14× in this paper · explained in 2 episodes
Transformer — 11× in this paper · explained in 2 episodes
Accuracy — 8× in this paper · explained in 1 episode
Alignment — 6× in this paper · explained in 1 episode
Calibration — 6× in this paper · explained in 7 episodes
Robustness — 6× in this paper · explained in 5 episodes
AUC — 5× in this paper · explained in 2 episodes
Feature Extraction — 5× in this paper · explained in 2 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Fine-Tuning — 4× in this paper · explained in 5 episodes
Trace — 4× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 3× in this paper
F1 Score — 3× in this paper · explained in 3 episodes
Mask Generation — 3× in this paper · explained in 2 episodes
Affective Computing — 2× in this paper · explained in 1 episode
Aggregation — 2× in this paper · explained in 1 episode
Embeddings — 2× in this paper · explained in 2 episodes
Unified Framework — 2× in this paper · explained in 5 episodes
AI Agents — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Data Augmentation — 1× in this paper · explained in 7 episodes
Decode — 1× in this paper · explained in 2 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Frequency-Domain Analysis — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 3 episodes
Masked Autoencoder (MAE) — 1× in this paper · explained in 5 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes

Terminology

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