Imagen de Portada

Accurate Quantization for Gait Representation Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tian, S., Gao, H., Hong, G., Wang, S., Wang, J., Yu, X., Zhang, S.
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GaitAdapt: Continual Learning for Evolving Gait Recognition
por: Wang, Jingjie, et al.
Publicado: (2025)

BigGait: Learning Gait Representation You Want by Large Vision Models
por: Ye, Dingqiang, et al.
Publicado: (2024)

HorGait: A Hybrid Model for Accurate Gait Recognition in LiDAR Point Cloud Planar Projections
por: Hao, Jiaxing, et al.
Publicado: (2024)

SpheriGait: Enriching Spatial Representation via Spherical Projection for LiDAR-based Gait Recognition
por: Wang, Yanxi, et al.
Publicado: (2024)

Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition
por: Wu, Zhengxian, et al.
Publicado: (2026)

Distillation-guided Representation Learning for Unconstrained Gait Recognition
por: Guo, Yuxiang, et al.
Publicado: (2023)

Towards Accurate Post-training Quantization for Diffusion Models
por: Wang, Changyuan, et al.
Publicado: (2023)

GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
por: Li, Yuqi, et al.
Publicado: (2026)

It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment
por: Zheng, Jinkai, et al.
Publicado: (2024)

Learning Geometric Invariance for Gait Recognition
por: Wang, Zengbin, et al.
Publicado: (2026)

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
por: Ye, Dingqiang, et al.
Publicado: (2025)

Evidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification
por: Du, Heming, et al.
Publicado: (2022)

GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
por: Xiong, Haijun, et al.
Publicado: (2023)

GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation
por: Guo, Yuxiang, et al.
Publicado: (2023)

Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation
por: Gao, Fei, et al.
Publicado: (2024)

Self-supervised Gait-based Emotion Representation Learning from Selective Strongly Augmented Skeleton Sequences
por: Song, Cheng, et al.
Publicado: (2024)

GaitASMS: Gait Recognition by Adaptive Structured Spatial Representation and Multi-Scale Temporal Aggregation
por: Sun, Yan, et al.
Publicado: (2023)

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
por: Feng, Weilun, et al.
Publicado: (2025)

The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment
por: McDaniel, Laura, et al.
Publicado: (2026)

PLIP: Language-Image Pre-training for Person Representation Learning
por: Zuo, Jialong, et al.
Publicado: (2023)

Towards Accurate Post-training Quantization for Reparameterized Models
por: Zhang, Luoming, et al.
Publicado: (2024)

Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration
por: Chen, Yujie, et al.
Publicado: (2025)

GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences
por: Hou, Saihui, et al.
Publicado: (2025)

HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
por: Dong, Yilan, et al.
Publicado: (2023)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
por: Zhao, Tianchen, et al.
Publicado: (2024)

AQD: Towards Accurate Fully-Quantized Object Detection
por: Chen, Peng, et al.
Publicado: (2020)

TrackletGait: A Robust Framework for Gait Recognition in the Wild
por: Zhang, Shaoxiong, et al.
Publicado: (2025)

Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
por: Xiong, Haijun, et al.
Publicado: (2024)

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
por: Chen, Lei, et al.
Publicado: (2024)

Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes
por: Lu, Yujie, et al.
Publicado: (2024)

Learning Quantized Adaptive Conditions for Diffusion Models
por: Liang, Yuchen, et al.
Publicado: (2024)

Local Spatiotemporal Convolutional Network for Robust Gait Recognition
por: Wang, Xiaoyun, et al.
Publicado: (2026)

Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction
por: Zhong, Yunshan, et al.
Publicado: (2024)

GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization
por: Duan, Huiran, et al.
Publicado: (2026)

Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
por: Nguyen, Vuong D., et al.
Publicado: (2024)

DINOv2 Driven Gait Representation Learning for Video-Based Visible-Infrared Person Re-identification
por: Yang, Yujie, et al.
Publicado: (2025)

ZipGait: Bridging Skeleton and Silhouette with Diffusion Model for Advancing Gait Recognition
por: Min, Fanxu, et al.
Publicado: (2024)

On Quantizing Implicit Neural Representations
por: Gordon, Cameron, et al.
Publicado: (2022)

Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training
por: Wang, Wenshuo, et al.
Publicado: (2025)

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
por: Li, Siyuan, et al.
Publicado: (2025)