In this paper, we propose a novel Par- tial Adversarial Temporal Attentive Network (PATAN) to address the PVDA problem by utilizing both spatial and temporal ...
Jul 11, 2021 · In this paper, we propose a novel Partial Adversarial Temporal Attentive Network (PATAN) to address the PVDA problem by utilizing both spatial ...
In this paper, we propose a novel Par- tial Adversarial Temporal Attentive Network (PATAN) to address the PVDA problem by utilizing both spatial and temporal ...
A novel Partial Adversarial Temporal Attentive Network (PATAN) is proposed to address the PVDA problem by utilizing both spatial and temporal features for ...
Sep 7, 2024 · Partial Domain Adaptation (PDA) is a practical and general domain adaptation scenario, which relaxes the fully shared label space assumption ...
Partial Adversarial Temporal Attentive Network (PATAN). A Novel Method and A New Benchmark Dataset for Partial Video-based Domain Adaptation (PVDA).
In this paper, we propose a novel Partial Adversarial Temporal Attentive Network (PATAN) to address the PVDA problem by utilizing both spatial and temporal ...
In this work, we propose three sets of benchmarks, UCF-. HMDBpartial, MiniKinetics-UCF, and HMDB-ARIDpartial, which cover a wide range of Partial Video ...
This repository is the demo code for the ICCV 2021 paper (oral) "Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network".
The key to tackling PVDA lies in mitigating negative effects brought by the unknown outlier label space Y \Y leveraging on the additional temporal or ...
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