no code implementations • 29 Feb 2024 • Jenny Seidenschwarz, Aljoša Ošep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé
Recent results suggest that heuristic-based clustering methods in conjunction with object trackers can be used to pseudo-label instances of moving objects and use these as supervisory signals to train 3D object detectors in Lidar data without manual supervision.
1 code implementation • CVPR 2023 • Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé
For association, most models resourced to motion and appearance cues, e. g., re-identification networks.
no code implementations • 4 Apr 2022 • Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixe
Deep metric learning has yielded impressive results in tasks such as clustering and image retrieval by leveraging neural networks to obtain highly discriminative feature embeddings, which can be used to group samples into different classes.
2 code implementations • 15 Feb 2021 • Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
To this end, we propose an approach based on message passing networks that takes all the relations in a mini-batch into account.
Ranked #3 on Metric Learning on CARS196