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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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08/21/2023
EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
Visual Place Recognition is a task that aims to predict the place of an ...
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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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07/24/2023
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction
This report presents the technical details of our approach for the EPIC-...
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07/17/2023
Divide Classify: Fine-Grained Classification for City-Wide Visual Place Recognition
Visual Place recognition is commonly addressed as an image retrieval pro...
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06/14/2023
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
We propose and address a new generalisation problem: can a model trained...
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04/12/2023
Are Local Features All You Need for Cross-Domain Visual Place Recognition?
Visual Place Recognition is a task that aims to predict the coordinates ...
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11/06/2022
Bringing Online Egocentric Action Recognition into the wild
To enable a safe and effective human-robot cooperation, it is crucial to...
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10/12/2022
Hierarchical Instance Mixing across Domains in Aerial Segmentation
We investigate the task of unsupervised domain adaptation in aerial sema...
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09/09/2022
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
In this report, we describe the technical details of our submission to t...
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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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07/08/2022
Learning Sequential Descriptors for Sequence-based Visual Place Recognition
In robotics, Visual Place Recognition is a continuous process that recei...
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06/17/2022
FreeREA: Training-Free Evolution-based Architecture Search
In the last decade, most research in Machine Learning contributed to the...
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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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04/17/2022
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images
In this paper, we investigate the problem of Semantic Segmentation for a...
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04/07/2022
Deep Visual Geo-localization Benchmark
In this paper, we propose a new open-source benchmarking framework for V...
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04/05/2022
Rethinking Visual Geo-localization for Large-Scale Applications
Visual Geo-localization (VG) is the task of estimating the position wher...
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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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01/24/2022
Learning Semantics for Visual Place Recognition through Multi-Scale Attention
In this paper we address the task of visual place recognition (VPR), whe...
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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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12/07/2021
E^2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
Event cameras are novel bio-inspired sensors, which asynchronously captu...
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10/22/2021
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation
Semantic segmentation models have reached remarkable performance across ...
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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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10/19/2021
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
First person action recognition is becoming an increasingly researched a...
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09/20/2021
Viewpoint Invariant Dense Matching for Visual Geolocalization
In this paper we propose a novel method for image matching based on dens...
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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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07/05/2021
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
Vision systems trained in closed-world scenarios will inevitably fail wh...
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07/01/2021
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
In this report, we describe the technical details of our submission to t...
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06/04/2021
Towards Fairness Certification in Artificial Intelligence
Thanks to the great progress of machine learning in the last years, seve...
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06/03/2021
Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment
First person action recognition is an increasingly researched topic beca...
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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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03/25/2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
In this work, we present a new, algorithm for multi-domain learning. Giv...
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03/25/2021
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Unsupervised Domain Adaptation (UDA) refers to the problem of learning a...
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02/12/2021
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) is a key field in visual recognitio...
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12/15/2020
A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer
This paper presents our work for the ninth edition of the Dialogue Syste...
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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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10/14/2020
Adaptive-Attentive Geolocalization from few queries: a hybrid approach
We address the task of cross-domain visual place recognition, where the ...
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08/04/2020
Shape Consistent 2D Keypoint Estimation under Domain Shift
Recent unsupervised domain adaptation methods based on deep architecture...
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07/24/2020
Self-Supervised Learning Across Domains
Human adaptability relies crucially on learning and merging knowledge fr...
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07/23/2020
Towards Recognizing Unseen Categories in Unseen Domains
Current deep visual recognition systems suffer from severe performance d...
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05/23/2020
One-Shot Unsupervised Cross-Domain Detection
Despite impressive progress in object detection over the last years, it ...
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04/21/2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Unsupervised Domain Adaptation (DA) exploits the supervision of a label-...
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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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04/17/2020
IDDA: a large-scale multi-domain dataset for autonomous driving
Semantic segmentation is key in autonomous driving. Using deep visual le...
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02/10/2020
Joint Encoding of Appearance and Motion Features with Self-supervision for First Person Action Recognition
Wearable cameras are becoming more and more popular in several applicati...
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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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10/09/2019
Learning to Generalize One Sample at a Time with Self-Supervision
Although deep networks have significantly increased the performance of v...
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06/04/2019
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
While today's robots are able to perform sophisticated tasks, they can o...
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04/01/2019
