The ADE/FDE metrics for various approaches compared to OV-SKTGCNN are displayed. The remaining models utilized the best 20 samples for evaluation. Every model predicts the following 12 frames based on 8 input frames. OV-SKTGCNN has the best average error on both ADE and FDE criteria. The lower, the better.
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https://figshare.com/articles/dataset/The_ADE_FDE_metrics_for_various_approaches_compared_to_OV-SKTGCNN_are_displayed_The_remaining_models_utilized_the_best_20_samples_for_evaluation_Every_model_predicts_the_following_12_frames_based_on_8_input_frames_OV-SKTGCNN_has_the_best_av/29271117
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The ADE/FDE metrics for various approaches compared to OV-SKTGCNN are displayed. The remaining models utilized the best 20 samples for evaluation. Every model predicts the following 12 frames based on 8 input frames. OV-SKTGCNN has the best average error on both ADE and FDE criteria. The lower, the better.
创建时间：
2025-06-09
