- Видео 55
- Просмотров 14 642
CV4Ecology
Добавлен 21 сен 2021
Official RUclips channel of the Computer Vision for Ecology Summer Workshop at Caltech. The workshop was held already in 2022 and 2023 at the California Institute of Technology, supported by the Caltech Resnick Sustainability Institute and led by Sara Beery.
Видео
Suzanne Stathatos - Lecture 5 - Pytorch, Common Architectures, and Computer Vision Tasks
Просмотров 8059 месяцев назад
Join Suzanne Stathatos a PhD Candidate from Caltech for an in-depth exploration of PyTorch, common architectures, and computer vision tasks. This is the 5th lecture in the Computer Vision for Ecology Summer Workshop at Caltech, 2023. In this lecture, you'll gain an overview of: - Fundamental concepts of machine learning models: Gradient Descent, In- and Equivariance - Computer Vision (CV) Tasks...
Shir Bar - Lecture 10 - Experimental Design in Computer Vision
Просмотров 59711 месяцев назад
This lecture explains how we can ensure that comparing methods is fair. PhD Candidate Shir Bar will also show how we can prove progress by building controlled experiments and ablation studies. ⛆ Contents ⛆ 💻 Introduction 💻 Experiment design and hypothesis testing in computer vision 💻 Fair and unfair comparisons 💻 Controlled experiments and ablation studies 💻 Reporting uncertainty 💻 Evaluating m...
Sara Beery - Lecture 2 - Data Visualization, Data Splitting, and Avoiding Data Poisoning
Просмотров 56911 месяцев назад
Possibly the largest amount of effort of applying computer vision to ecology will be spent in designing the dataset. When designing the dataset it is all too easy to introduce Data Poisoning upon which any research insights of this dataset would be invalid.. This lecture by MIT Asst. Prof. Sara Beery will explain the ideal qualities of a prototype dataset, how to split the data into train, val,...
Sam Lapp - Lecture 12 - What Do I Do With My (Imperfect) Model?
Просмотров 1 тыс.11 месяцев назад
Sam Lapp - Lecture 12 - What Do I Do With My (Imperfect) Model?
Pietro Perona - Guest Lecture - Crowdsourcing Annotations
Просмотров 1,4 тыс.11 месяцев назад
Pietro Perona - Guest Lecture - Crowdsourcing Annotations
Justin Kay - Lecture 11 - Efficient Models and Speed vs Accuracy
Просмотров 1,4 тыс.11 месяцев назад
Justin Kay - Lecture 11 - Efficient Models and Speed vs Accuracy
Sara Beery + Surya Narayanan - Lecture 4 - Working with Open-source CV Codebases
Просмотров 52811 месяцев назад
One of the first steps in a computer vision project is to choose a baseline model and a custom data loader. This lecture will show how to use open-source code for that. Given by MIT Professor Sara Beery and Caltech PhD Student Surya Narayanan Hari. The lecture will interactively explore common code bases to answer: "When should you adapt open source code?" "What is built into Pytorch" and "How ...
Björn Lütjens + Tarun Sharma - Lecture 9 - Squeezing your Data | Augmentations and Self-Supervision
Просмотров 98411 месяцев назад
What to do, if the model does not generalize or there's simply not enough data.. This lecture shows how common data augmentations anecdotally only take 3 hours to implement, but increase accuracy by over 5%. The lecture also gives a case study on how to use unlabeled data via self-supervised and contrastive learning. The lecturers are Björn Lütjens, a Postdoc at MIT, and Tarun Sharma, a PhD stu...
Shir Bar - Lecture 6 - Evaluation Metrics in Computer Vision for Ecology
Просмотров 35611 месяцев назад
Metrics are mathematical statements of our goals. Training our model will maximize this goal! Afterwards, we use metrics to compare different approaches to our problem. The lecturer, Shir Bar from Tel Aviv University, will introduce common metrics in Classification, Segmentation, and Detection. She will also detangle the Confusion Matrix, Precision-Recall Curve, and why Accuracy is so misleadin...
Björn Lütjens - Lecture 3 - Staying Organized in Machine Learning Projects
Просмотров 76011 месяцев назад
This lecture will show how to set-up a machine learning codebase, for success. The lecturer is Björn Lütjens, PhD Candidate at MIT.
Manuel Knott - Lecture 1 - IDEs, GitHub, and Remote Workflow
Просмотров 1,3 тыс.11 месяцев назад
The lecture is the first in the 2023 Computer Vision for Ecology Workshop at Caltech. This lecture series is primarily intended for ecology PhD and postdocs to learn how to apply computer vision tools in their research. This first lecture will help students set-up a Python code environment, git, and working on a remote machine. The lecturer Manuel Knott is a PhD Student in Applied Machine Learn...
Justin Kay - Lecture 8 - What's next? Rules of thumb to improve results
Просмотров 783Год назад
Justin Kay - Lecture 8 - What's next? Rules of thumb to improve results
Sam Lapp - Lecture 7 - Probing your model's performance: Offline Evaluation & Analysis
Просмотров 367Год назад
🌴 Contents🌴 🐣 (00:00) Introduction 🐣 Histograms! 🐣 Evaluating model performance! 🐣 Inspecting samples!! 🐣 What is your model looking at? 🐣 Generalizability & Domain Shift 🐣 What can we do with continuous scores? 🐣 Calibrating probabilities
Dan Morris, Google - Getting to know your AI for Conservation Project
Просмотров 166Год назад
Dan Morris, Google - Getting to know your AI for Conservation Project
CV4Ecology 2023 Application InfoSession
Просмотров 128Год назад
CV4Ecology 2023 Application InfoSession
Final Presentation - Tiziana Gelmi Candusso
Просмотров 122Год назад
Final Presentation - Tiziana Gelmi Candusso
i really love your videos would you like some recommendation ?
0+SUICIDE:SQUARD+37 0BIJOO:38 0:38 0:38 TITANIC 🌹 0:SCARE38 TWA MWA MEGAN THEE STALLION APRÈ SA SÈT 💖 JOU MICHELLE TWA JOU KAT VLE MENNAJ MWEN EKE LI PA GRANMOUN JOU 1:55 1:55 1:5<-(*-BN8+■>*)->5
مفيد
Your efforts in making these videos deserves more intention. Keep it up!
thanks youssef!
Blocks
thank you for recording the info-session! sounds exciting!
I discussed this course with my supervisors and we had to shelf the plan because we felt logistically, we cant manage.
that's unfortunate -- hopefully you can join another time:)