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12/20/2022
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation
Deep supervised models have an unprecedented capacity to absorb large qu...
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03/15/2022
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic Segmentation
Dense panoptic prediction is a key ingredient in many existing applicati...
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08/25/2021
Multi-domain semantic segmentation with overlapping labels
Deep supervised models have an unprecedented capacity to absorb large qu...
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06/13/2021
A baseline for semi-supervised learning of efficient semantic segmentation models
Semi-supervised learning is especially interesting in the dense predicti...
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01/22/2021
Dense outlier detection and open-set recognition based on training with noisy negative images
Deep convolutional models often produce inadequate predictions for input...
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09/02/2020
Multi-domain semantic segmentation with pyramidal fusion
We present our submission to the semantic segmentation contest of the Ro...
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08/03/2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Recent success on realistic road driving datasets has increased interest...
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07/26/2019
Single Level Feature-to-Feature Forecasting with Deformable Convolutions
Future anticipation is of vital importance in autonomous driving and oth...
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07/16/2019
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings
This paper studies the interplay between kinematics (position and veloci...
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03/20/2019
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
Recent success of semantic segmentation approaches on demanding road dri...
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08/23/2018
Discriminative out-of-distribution detection for semantic segmentation
This paper considers dense detection of out-of-distribution pixels. As a...
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06/09/2018