Posts with tags “Machine Learning”

SilvaScenes

Tree Segmentation and Species Classification from Under-Canopy Images in Natural Forests

Using Citizen Science Data for UAV Image Analysis

Using citizen science data to improve UAV image analysis

Terrain Classification for Boreal Forests

Exterioception need-not apply

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

Learn Transformers

The Transformer architecture reimplemented to be easy to understand

torch_waymo

Python library for loading the Waymo Open Dataset in PyTorch

Apprentissage 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