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09/08/2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation
Segmenting unknown or anomalous object instances is a critical task in a...
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07/25/2023
Unmasking Anomalies in Road-Scene Segmentation
Anomaly segmentation is a critical task for driving applications, and it...
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11/25/2022
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
Continual learning for segmentation has recently seen increasing interes...
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08/24/2022
Detecting the unknown in Object Detection
Object detection methods have witnessed impressive improvements in the l...
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04/19/2022
Modeling Missing Annotations for Incremental Learning in Object Detection
Despite the recent advances in the field of object detection, common arc...
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01/31/2022
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Deep neural networks have enabled major progresses in semantic segmentat...
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12/07/2021
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images
Incremental learning represents a crucial task in aerial image processin...
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10/22/2021
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation
In this paper we consider the task of semantic segmentation in autonomou...
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07/09/2021
On the Challenges of Open World Recognitionunder Shifting Visual Domains
Robotic visual systems operating in the wild must act in unconstrained s...
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06/01/2021
Detecting Anomalies in Semantic Segmentation with Prototypes
Traditional semantic segmentation methods can recognize at test time onl...
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04/21/2021
A Closer Look at Self-training for Zero-Label Semantic Segmentation
Being able to segment unseen classes not observed during training is an ...
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11/30/2020
A Few Guidelines for Incremental Few-Shot Segmentation
Reducing the amount of supervision required by neural networks is especi...
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04/20/2020
Boosting Deep Open World Recognition by Clustering
While convolutional neural networks have brought significant advances in...
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02/03/2020
Modeling the Background for Incremental Learning in Semantic Segmentation
Despite their effectiveness in a wide range of tasks, deep architectures...
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04/01/2019