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Debugging a Self-Driving RC Car
Armand du Parc Locmaria
Aug 04
Beginner, Computer Vision, Object Detection, Case Study, Panels, Plots, Autonomous Vehicles
Exploring Adaptive Gradient Clipping and NFNets
Ayush Thakur
Mar 18
Intermediate, Computer Vision, Object Detection, Research, NFNet, ResNet, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, Normalization
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Using Artifacts to Build an End to End ML Pipeline
Armand du Parc Locmaria
Aug 06
Beginner, Computer Vision, Object Detection, Case Study, Github, Artifacts
SBX Robotics: Synthetic Training Data & Scene Composition with Tables
Artem @ SBX Robotics
Jul 20
Intermediate, Computer Vision, Object Detection, PyTorch, Experiment, R-CNN, Tables, Chum here
Training a Remote Controlled Car to Drive Itself
Justin Tenuto
Jul 02
Beginner, Computer Vision, Object Detection, Video, Case Study
How Well Can a CNN Detect Architectural Style?
Mason Sanders
Jun 02
Beginner, Computer Vision, Object Detection, Experiment, CNN, Panels, Plots, Kaggle
How Nanit Improves and Develops Models
Nimrod Shabtay
May 20
Beginner, Computer Vision, Object Detection, Keras, Case Study, R-CNN, Panels, Plots, COCO
Funnel Activation for Visual Recognition (CVPR 2020)
Manoj Manjhari
May 18
Intermediate, Computer Vision, Classification, Object Detection, Research, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
Gated Channel Transformation for Visual Recognition (CVPR 2020)
Manoj Manjhari
May 12
Intermediate, Computer Vision, Object Detection, Research, GCT, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10
Lyft's High-Capacity End-to-End Camera-Lidar Fusion for 3D Detection
Weights & Biases Case Studies
May 10
Advanced, Computer Vision, Object Detection, Semantic Segmentation, Case Study, Research, Plots, Autonomous Vehicles
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training (ECCV 2020)
Avantika
May 06
Intermediate, Computer Vision, Object Detection, PyTorch, Research, CNN, Github, Panels, Plots, Slider, COCO, RC
II. Shopee Competition: Model Training with Pytorch x RAPIDS
Andrada Olteanu
May 03
Intermediate, Computer Vision, Object Detection, PyTorch, Tutorial, Github, Kaggle
I. Shopee Competition: EDA and Preprocessing
Andrada Olteanu
May 03
Beginner, Computer Vision, Object Detection, PyTorch, Tutorial, Github, Kaggle
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Laura R Edmondson, Anil Ozdemir
Apr 21
Intermediate, Computer Vision, OCR, Object Detection, Research, SNN, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, MNIST, RC
How to Correctly Install TensorFlow Object Detection API
Ayush Thakur
Apr 18
Beginner, Computer Vision, Object Detection, Keras, Tutorial
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Diganta Misra
Apr 12
Intermediate, Computer Vision, Object Detection, Research, CNN, Github, Panels, RC
What Do Compressed Deep Neural Networks Forget?
Saurav Maheshkar
Apr 09
Intermediate, Computer Vision, Object Detection, Research, ResNet, Panels, Plots
La-MAML: Look-ahead Meta Learning for Continual Learning
Joel Joseph
Apr 06
Intermediate, Computer Vision, Object Detection, Research, Plots, CIFAR-100, ImageNet, MNIST, RC
Understanding what works (and why) in Deep Metric Learning
Karsten Roth
Mar 15
Intermediate, Computer Vision, Object Detection, Research, Github, Panels
Real Time Social Distance Detector
Piyush Thakur, Sudarshana Dutta
Mar 08
Intermediate, Video, Object Detection, Keras, Experiment, COCO
An Introduction to Weights & Biases Artifacts
Stacey Svetlichnaya
Dec 18
Beginner, Domain Agnostic, Object Detection, Keras, W&B Meta, Artifacts, iNaturalist
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