WebMar 25, 2024 · In this way, we can explore and exploit the entire spatial area of the feature maps to mine more diverse discriminative knowledge. We perform extensive model evaluations and analyses on miniImageNet and tieredImageNet datasets demonstrating the effectiveness of the proposed method. READ FULL TEXT Wei Shen 80 publications … WebApr 9, 2024 · Learn from the community’s knowledge. Experts are adding insights into this AI-powered collaborative article, and you could too. This is a new type of article that we started with the help of AI ...

Image-to-Video Re-Identification via Mutual Discriminative Knowledge ...

Webpaper proposes a discriminative rule-based knowledge (DRK) method. Specifically, DRK adopts a logic-aware inference module to ease the word-overlap confusion, which … Webtual discriminative knowledge transfer (MDKT). Extensive experiments demonstrate the effectiveness of the proposed method on MARS [7], DukeMTMC-VideoReID [8] and … haller artwork bern

Hierarchical knowledge amalgamation with dual discriminative …

Webtation regularizer to convey knowledge transfer by capturing the intrinsic structure of target domain. On the other hand, the label propagation turns out to be more effective with more discriminative domain-invariant features. Finally, these two strategies tend to trigger and benefit each other during the model optimization, which could also be WebMay 1, 2024 · reuse of knowledge, which is, extracting useful knowledge from one or more SDs to assist in tasks in TD ( Li et al., 2024 ). For example, Zanini et al. (2024) proposed a transfer learning Webmodel’s discriminative ability is enhanced through graph learning. Currently, our model has achieved state-of-the-art performance on two publicly available Chinese datasets. ... knowledge graph, the model’s accuracy and F1 score on the BQ dataset decrease by 2.32% and 2.56%, respectively. On the FCQMC dataset, the accuracy and F1 score ... haller astoria