SilvaScenes
Tree Segmentation and Species Classification from Under-Canopy Images in Natural Forests
• By William Guimont-Martin
Posts with tags “Deep Learning”
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15 posts in total
Using Citizen Science Data for UAV Image Analysis
Using citizen science data to improve UAV image analysis
• By William Guimont-Martin
Terrain Classification for Boreal Forests
Exterioception need-not apply
• By William Guimont-Martin
Benchmarking of Real-Time Object Detection Models
In depth analysis of real-time object detection models
• By William Guimont-Martin
RandAugment
Presentation on RandAugment
• By William Guimont-Martin
Segment Anything
Presentation on Segment Anything
• By William Guimont-Martin
MaskBEV
MaskBEV is an IROS 2023 paper on mask-based object detection and footprint completion in bird’s-eye-view LiDAR point clouds.
• By William Guimont-Martin
Learn Transformers
The Transformer architecture reimplemented to be easy to understand
• By William Guimont-Martin
torch_waymo
Python library for loading the Waymo Open Dataset in PyTorch
• By William Guimont-Martin
Apprentissage profonds sur les nuages de points 3D
Rapport sur l’apprentissage par réseaux de neurones profonds appliqué aux nuages de points 3D, réalisé pour le cours IFT-6001.
• By William Guimont-Martin
Point-BERT IFT-6001
Présentation sur Point-BERT, donnée dans le cadre du cours IFT-6001 à l’Université Laval, avec diapositives et enregistrement vidéo.
• By William Guimont-Martin
Compute Canada Quickstart
A guide to using Compute Canada clusters for deep learning.
• By William Guimont-Martin
Transformers in Computer Vision
A talk on transformer-based neural network architectures for computer vision.
• By William Guimont-Martin
TossingBot
Explaining TossingBot
• By William Guimont-Martin
On Learning
Some thoughts on human learning and representation learning
• By William Guimont-Martin