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6 search results found

Research ⭐ 1,550

novel deep learning research works with PaddlePaddle

Multi Camera Person Re Identification ⭐ 154

State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.

CVPR2019 STEP: Spatio-Temporal Progressive Learning for Video Action Detection

A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.

A Python framework to evaluate geospatial datasets by comparing candidate and benchmark maps to compute agreement maps and statistics.

Federated Lifelong Person Reid ⭐ 7

Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (FedSTIL)

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