Displaying 75 resources
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Augmentation-free unsupervised approach for point clouds

Unsupervised learning on 3D point clouds has undergone a rapid evolution, especially thanks to data augmentation-based contrastive methods.

Category
Reasoning Techniques
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

Novel Class Discovery in Semantic Segmentation (NCDSS)

We introduce a new setting of Novel Class Discovery in Semantic Segmentation (NCDSS), which aims at segmenting unlabeled images containing new classes given prior knowledge from a labeled set of disjoint classes.

Category
Semantic knowledge
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

pygrank

pygrank is an open source framework to define, run and evaluate node ranking algorithms.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

InDistill

InDistill enchances the effectiveness of the Knowledge Distillation procedure by leveraging the properties of channel pruning to both reduce the capacity gap between the models and retain the information geometry.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

ToDY: Time of Day/Year: Dataset for visual time of day and season classification

The dataset provides training and valiation data for classifying images by time of day and season (time of year). The images are taken from the Skyfinder dataset, containing webcam images along with timestamps and geolocation.

Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset

This repository contains a diverse set of features extracted from the marine video (underwater) dataset (MVK) .

Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e