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Segmenting Known Objects and Unseen Unknowns without Prior Knowledge

Segmenting Known Objects and Unseen Unknowns without Prior Knowledge

12 September 2022
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
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Papers citing "Segmenting Known Objects and Unseen Unknowns without Prior Knowledge"

11 / 11 papers shown
Title
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Sebastian Schmidt
Julius Körner
Dominik Fuchsgruber
Stefano Gasperini
F. Tombari
Stephan Günnemann
26
0
0
07 Apr 2025
Open-World Panoptic Segmentation
Open-World Panoptic Segmentation
Matteo Sodano
Federico Magistri
Jens Behley
Cyrill Stachniss
VLM
68
0
0
17 Dec 2024
On the Potential of Open-Vocabulary Models for Object Detection in
  Unusual Street Scenes
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
Sadia Ilyas
Ido Freeman
Matthias Rottmann
ObjD
46
3
0
20 Aug 2024
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
18
7
0
29 Aug 2023
Incremental 3D Semantic Scene Graph Prediction from RGB Sequences
Incremental 3D Semantic Scene Graph Prediction from RGB Sequences
Shun-cheng Wu
Keisuke Tateno
Nassir Navab
F. Tombari
3DPC
3DV
46
21
0
04 May 2023
Open-world Semantic Segmentation for LIDAR Point Clouds
Open-world Semantic Segmentation for LIDAR Point Clouds
Jun Cen
Peng Yun
Shiwei Zhang
Junhao Cai
Di Luan
M. Y. Wang
Meilin Liu
Mingqian Tang
3DPC
39
28
0
04 Jul 2022
Uncertainty-aware Panoptic Segmentation
Uncertainty-aware Panoptic Segmentation
Kshitij Sirohi
Sajad Marvi
Daniel Buscher
Wolfram Burgard
EDL
UQCV
26
26
0
29 Jun 2022
Fine-Grained Neural Network Explanation by Identifying Input Features
  with Predictive Information
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Yang Zhang
Ashkan Khakzar
Yawei Li
Azade Farshad
Seong Tae Kim
Nassir Navab
FAtt
XAI
49
27
0
04 Oct 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime
  Semantic Segmentation
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Xinyi Wu
Zhenyao Wu
Haojie Guo
L. Ju
Song Wang
97
143
0
22 Apr 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition
Counterfactual Zero-Shot and Open-Set Visual Recognition
Zhongqi Yue
Tan Wang
Hanwang Zhang
Qianru Sun
Xiansheng Hua
BDL
153
192
0
01 Mar 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
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