Test time augmentation with Tensorflow keras models for segmentation tasks. This package also enables creation of keras layers for GPU acceleration

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.

Test Time Augmentation for Deep Learning Inference

Test-Time Augmentation library for Pytorch

Wheat detection using Faster RCNN

Source code for the CIKM 2024 paper "Post-Training Embedding Enhancement for Long-Tail Recommendation."

Test-Time-Augmentation is a very efficient way to improve the results of any model at testing time.

Image recognition used to distinguish between bees and wasps in photographs

My modified version of EfficientDet training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition

Object Detection and Bounding Box Prediction using YOLO5 and EfficientDet , Image Augmentations and Test Time Augmentations

Simple but high-performing method for learning a policy of test-time augmentation

My modified version of YoloV5 training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition

Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images

Collection of awesome test-time (domain/batch/instance) adaptation methods

Image Test Time Augmentation with PyTorch!

PyTorch extensions for fast R&D prototyping and Kaggle farming