Topic Brief: Authors: Petra Bevandić (Faculty of Electrical Engineering and Computing)*; Marin Oršić (UNIZG-FER); Ivan Grubišić (University ... Authors: Prachi Garg (International Institute of Information Technology (IIITH))*; Rohit Saluja (IIIT-Hyderabad); Vineeth N ...

Multi Domain Incremental Learning For Semantic Segmentation -

Authors: Petra Bevandić (Faculty of Electrical Engineering and Computing)*; Marin Oršić (UNIZG-FER); Ivan Grubišić (University ... Authors: Prachi Garg (International Institute of Information Technology (IIITH))*; Rohit Saluja (IIIT-Hyderabad); Vineeth N ... Authors: Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin Description: Exploiting photo-realistic synthetic data to train ...

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  • Authors: Petra Bevandić (Faculty of Electrical Engineering and Computing)*; Marin Oršić (UNIZG-FER); Ivan Grubišić (University ...
  • Authors: Prachi Garg (International Institute of Information Technology (IIITH))*; Rohit Saluja (IIIT-Hyderabad); Vineeth N ...
  • Authors: Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin Description: Exploiting photo-realistic synthetic data to train ...
  • Authors: Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo Description: Despite their ...
  • Authors: John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun Description: We present MSeg, a composite ...

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Multi-Domain Incremental Learning for Semantic Segmentation

Multi-Domain Incremental Learning for Semantic Segmentation

Authors: Prachi Garg (International Institute of Information Technology (IIITH))*; Rohit Saluja (IIIT-Hyderabad); Vineeth N ...

[ECCV 2022] On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond

[ECCV 2022] On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond

Read more details and related context about [ECCV 2022] On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond.

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

Authors: John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun Description: We present MSeg, a composite ...

MSeg: A Composite Dataset for Multi-domain Semantic Segmentation

MSeg: A Composite Dataset for Multi-domain Semantic Segmentation

Read more details and related context about MSeg: A Composite Dataset for Multi-domain Semantic Segmentation.

FDA: Fourier Domain Adaptation for Semantic Segmentation

FDA: Fourier Domain Adaptation for Semantic Segmentation

Authors: Yanchao Yang, Stefano Soatto Description: We describe a simple method for unsupervised

Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer

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Authors: Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin Description: Exploiting photo-realistic synthetic data to train ...

Modeling the Background for Incremental Learning in Semantic Segmentation

Modeling the Background for Incremental Learning in Semantic Segmentation

Authors: Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo Description: Despite their ...

Multi-domain semantic segmentation with overlapping labels

Multi-domain semantic segmentation with overlapping labels

Authors: Petra Bevandić (Faculty of Electrical Engineering and Computing)*; Marin Oršić (UNIZG-FER); Ivan Grubišić (University ...

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

Read more details and related context about Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Fabio Cermelli - Incremental Learning in Semantic and Panoptic Segmentation

Fabio Cermelli - Incremental Learning in Semantic and Panoptic Segmentation

Join the C4AI Regional Asia group as they welcome Fabio Cermelli to discuss CoMFormer: Continual