이번에는 NeurIPS 2022에 발표된 논문인 Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?를 읽고, 리뷰해보고자 합니다. Index 1. Background 1.1. Homography 1.2. Graph Neural Network 1.3. Bi-Partite Matching 2. Abstract 3. Introduction 4. Related Work 5. Method 5.1. Overview 5.2. Data-driven Homography Estimation 5.3. Forecasting 5.4. Tracking via Forecasting 6. Experiment 7. Conclusion..
[리뷰] Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?
이번에는 NeurIPS 2022에 발표된 논문인 Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?를 읽고, 리뷰해보고자 합니다. Index 1. Background 1.1. Homography 1.2. Graph Neural Network 1.3. Bi-Partite Matching 2. Abstract 3. Introduction 4. Related Work 5. Method 5.1. Overview 5.2. Data-driven Homography Estimation 5.3. Forecasting 5.4. Tracking via Forecasting 6. Experiment 7. Conclusion..
2023.04.19
