Search Results for author: Benjamin Kellenberger

Found 13 papers, 4 papers with code

Teaching Computer Vision for Ecology

no code implementations5 Jan 2023 Elijah Cole, Suzanne Stathatos, Björn Lütjens, Tarun Sharma, Justin Kay, Jason Parham, Benjamin Kellenberger, Sara Beery

Computer vision can accelerate ecology research by automating the analysis of raw imagery from sensors like camera traps, drones, and satellites.

How to find a good image-text embedding for remote sensing visual question answering?

no code implementations24 Sep 2021 Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia

Visual question answering (VQA) has recently been introduced to remote sensing to make information extraction from overhead imagery more accessible to everyone.

Question Answering Visual Question Answering (VQA)

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images

1 code implementation17 Aug 2021 Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia

In detail, we examine a combination of recent contrastive learning methodologies like Momentum Contrast (MoCo) and Cross-Level Instance-Group Discrimination (CLD) to condition our model on the aerial images without the requirement for labels.

Contrastive Learning

Mapping Vulnerable Populations with AI

no code implementations29 Jul 2021 Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo C. Daudt, Konrad Schindler, Thao T-T Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran

Building functions shall be retrieved by parsing social media data like for instance tweets, as well as ground-based imagery, to automatically identify different buildings functions and retrieve further information such as the number of building stories.

Humanitarian Image Segmentation +1

A deep network approach to multitemporal cloud detection

no code implementations9 Dec 2020 Devis Tuia, Benjamin Kellenberger, Adrian Pérez-Suay, Gustau Camps-Valls

With a single model, we are able to outline clouds along all year and during day and night with high accuracy.

Cloud Detection Time Series Analysis

Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning

no code implementations17 Jul 2019 Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Devis Tuia

We present an Active Learning (AL) strategy for re-using a deep Convolutional Neural Network (CNN)-based object detector on a new dataset.

Active Learning Retrieval

Scale equivariance in CNNs with vector fields

no code implementations31 Jul 2018 Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia

We study the effect of injecting local scale equivariance into Convolutional Neural Networks.

General Classification

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning

no code implementations29 Jun 2018 Benjamin Kellenberger, Diego Marcos, Devis Tuia

In this paper, we study how to scale CNNs to large wildlife census tasks and present a number of recommendations to train a CNN on a large UAV dataset.

object-detection Object Detection

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

4 code implementations ECCV 2018 Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty

In computer vision, one is often confronted with problems of domain shifts, which occur when one applies a classifier trained on a source dataset to target data sharing similar characteristics (e. g. same classes), but also different latent data structures (e. g. different acquisition conditions).

Unsupervised Domain Adaptation

Learning deep structured active contours end-to-end

2 code implementations CVPR 2018 Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun

The world is covered with millions of buildings, and precisely knowing each instance's position and extents is vital to a multitude of applications.

Instance Segmentation Semantic Segmentation

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