Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective

arXiv:2609.18432 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Code: https://github.com/BNU-IVC/OccGait

Terminology

• Mixture of Experts — 10× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Static Occlusion — 9× in this paper
• Crowd Occlusion — 8× in this paper
• Transformer — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Mixture of Temporal Experts — 5× in this paper
• Dila Conv — 4× in this paper
• Alignment — 3× in this paper · explained in 1 episode
• Mixture of Action Experts — 3× in this paper
• None Occlusion — 3× in this paper
• Detect Occlusion — 2× in this paper
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Mixture of Experts (MoE) — 2× in this paper · explained in 5 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Point Clouds — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• GPGait: Generalized Pose-based Gait Recognition
• In Defense of the Triplet Loss for Person Re-Identification
• GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
• GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality
• Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
• Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
• DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition
• Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
• GaitRef: Gait Recognition with Refined Sequential Skeletons

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