Posts with tag “Machine Learning”

Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment

Using citizen science data to improve UAV image analysis

Proprioception Is All You Need: Terrain Classification for Boreal Forests

Exterioception need-not apply

Replication Study and Benchmarking of Real-Time Object Detection Models

In depth analysis of real-time object detection models

RandAugment

Presentation on RandAugment

Segment Anything

Presentation on Segment Anything

MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds

Learn Transformers

The Transformer architecture reimplemented to be easy to understand

torch_waymo

Python library for loading the Waymo Open Dataset in PyTorch

Apprentissage par réseaux de neurones profonds sur les nuages de points 3D

Point-BERT IFT-6001

Compute Canada Quickstart

A guide to using Compute Canada clusters for deep learning.

Transformers in Computer Vision

A talk on transformer-based neural network architectures for computer vision.

TossingBot

Explaining TossingBot

On Learning

Some thoughts on human learning and representation learning

PROSAC

A variant of RANSAC using quality to speed up the process