https://github.com/sscivier/gp-prob-earthquake-shaking
공식 코드Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
Papers with Code 아카이브
Activity Recognition In Videos
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sshaoshuai/mtr
공식 코드MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction
https://github.com/stepankonev/MotionCNN-Waymo-Open-Motion-Dataset
공식 코드MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving
https://github.com/stepankonev/waymo-motion-prediction-chalenge-2022-multipath-plus-plus
공식 코드https://github.com/stergiosbamp/deep-physical-activity-prediction
공식 코드https://github.com/stuarteiffert/MCTS-GRNN
공식 코드Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
https://github.com/suhaisheng/difsd
공식 코드https://github.com/swc-17/sparsedrive
공식 코드SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
https://github.com/syscv/trafficbots
공식 코드TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
https://github.com/tabguigui/fiptr
공식 코드https://github.com/tda-jyamiti/d-gril
공식 코드D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
https://github.com/tdavchev/structured-trajectory-prediction
공식 코드https://github.com/tedhuang96/mifwlstm
공식 코드Long-term Pedestrian Trajectory Prediction using Mutable Intention Filter and Warp LSTM
https://github.com/tileb1/motion-prediction-tim
공식 코드https://github.com/tinyvision/IPCodec
공식 코드Spatiotemporal Entropy Model is All You Need for Learned Video Compression
https://github.com/tleemann/dpmhp
공식 코드Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling
https://github.com/tsinghua-mars-lab/statetransformer
공식 코드Large Trajectory Models are Scalable Motion Predictors and Planners
https://github.com/ttlzfhy/D-DPCC
공식 코드D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction
https://github.com/tumftm/flexcloud
공식 코드FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
https://github.com/ubisoftinc/Ubisoft-LaForge-Animation-Dataset
공식 코드https://github.com/una-dinosauria/human-motion-prediction
공식 코드https://github.com/usaywook/gin
공식 코드GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
https://github.com/v0lta/Complex-gated-recurrent-neural-networks
공식 코드https://github.com/valeoai/mf_awta
공식 코드https://github.com/vietngth/ph-ensemble-gnn
공식 코드Persistent Homology-induced Graph Ensembles for Time Series Regressions
https://github.com/vita-epfl/hybrid-feature-fusion
공식 코드Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/vita-epfl/pedestrian-transition-dataset
공식 코드Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
https://github.com/vita-epfl/tarot
공식 코드https://github.com/walzimmer/3d-bat
공식 코드https://github.com/wei-mao-2019/HisRepItself
공식 코드History Repeats Itself: Human Motion Prediction via Motion Attention
https://github.com/wei-mao-2019/LearnTrajDep
공식 코드Learning Trajectory Dependencies for Human Motion Prediction
https://github.com/wei-mao-2019/gsps
공식 코드Generating Smooth Pose Sequences for Diverse Human Motion Prediction
https://github.com/wei-mao-2019/wat
공식 코드Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
https://github.com/western-oc2-lab/intrusion-detection-system-using-cnn-and-transfer-learning
공식 코드A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
https://github.com/westny/mtp-go
공식 코드Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.