Vocabulary-Guided Gait Recognition

arXiv:2609.18413 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

• Accuracy — 12× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Gait Fine-grained Detector — 5× in this paper
• Attention Mechanism — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 3× in this paper
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Institutional Review Board — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Point Clouds — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Dynamic Modeling — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mean Pooling — 1× in this paper
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• HiH: A Multi-modal Hierarchy in Hierarchy Network for Unconstrained Gait Recognition
• DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition
• Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification
• Qwen Technical Report
• LLaMA: Open and Efficient Foundation Language Models
• DeepSeek-V3 Technical Report
• Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
• In Defense of the Triplet Loss for Person Re-Identification

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