Topic: "test-time-augmentation"
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
Language: Python - Size: 3.07 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 1,540 - Forks: 123
qubvel/ttach
Image Test Time Augmentation with PyTorch!
Language: Python - Size: 51.8 KB - Last synced at: 27 days ago - Pushed at: almost 2 years ago - Stars: 998 - Forks: 67
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
Size: 1.79 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 942 - Forks: 66
juglab/EmbedSeg
Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
Language: Python - Size: 365 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 114 - Forks: 23
SamsungLabs/gps-augment
Simple but high-performing method for learning a policy of test-time augmentation
Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 1
sahilg06/Global-Wheat-Detection-AIcrowd
Wheat detection using Faster RCNN
Language: Jupyter Notebook - Size: 7.96 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 0
association-rosia/flair-2
Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.
Language: Jupyter Notebook - Size: 44.7 MB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0
alexey-ny/Bees-vs-Wasps
Image recognition used to distinguish between bees and wasps in photographs
Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
nitinh/Object-Detection-YOLO5-EfficientDet
Object Detection and Bounding Box Prediction using YOLO5 and EfficientDet , Image Augmentations and Test Time Augmentations
Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1
riu-rd/Worksite-Safety-Monitoring
This project explores workplace safety compliance in construction sites by evaluating a Convolutional Neural Network (CNN) for binary classification of images into "safe" (individuals wearing safety equipment) and "unsafe" (individuals not wearing safety equipment).
Language: Jupyter Notebook - Size: 2.05 GB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
geon0325/EDGE
Source code for the CIKM 2024 paper "Post-Training Embedding Enhancement for Long-Tail Recommendation."
Language: Python - Size: 120 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
pranavmyname/tensorflow_tta
Test time augmentation with Tensorflow keras models for segmentation tasks. This package also enables creation of keras layers for GPU acceleration
Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
fuzailpalnak/ttAugment
Test Time Augmentation for Deep Learning Inference
Language: Python - Size: 64.5 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
Sh-31/Relational-Group-Activity-Recognition
A modern implementation of ECCV 2018 paper: "Hierarchical Relational Networks for Group Activity Recognition and Retrieval".
Language: Python - Size: 27.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
wish44165/ntd
CVPR 2024 (Seattle, USA) - CLVision Workshop
Language: Python - Size: 26.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
one-with-violets-in-her-lap/cifar-100-image-classification
Another ResNet implementation trained on CIFAR-100 dataset
Language: Jupyter Notebook - Size: 129 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
cloudy4next/Test-Time-Augmentation
Test-Time-Augmentation is a very efficient way to improve the results of any model at testing time.
Language: Jupyter Notebook - Size: 82 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
