https://github.com/take2rohit/stride
공식 코드STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
<span style="color:grey; opacity: 0.6">( Image credit: GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
Towards a Deeper Understanding of Skeleton-based Gait Recognition
Gait Recognition in the Wild: A Large-scale Benchmark and NAS-based Baseline
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
OpenGait: Revisiting Gait Recognition Toward Better Practicality
Human Gait Database for Normal Walk Collected by Smartphone Accelerometer
BigGait: Learning Gait Representation You Want by Large Vision Models
Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach
Human Gait Database for Normal Walk Collected by Smartphone Accelerometer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.