Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentation"[https://arxiv.org/abs/2105.10559]
Convolutional Kernels are generated by a hyper-network instead of independtly learned
The input to the hyper-network are the spatial coordinates of the kernels
To initiate training, run: python main.py
Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info
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AugMix Introduction We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented ima
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Differentiable Neural Computers and family, for Pytorch Includes: Differentiable Neural Computers (DNC) Sparse Access Memory (SAM) Sparse Differentiab
Apple NeuralHash is a perceptual hashing method for images based on neural networks. It can tolerate image resize and compression.
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AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models Descrip
StARformer This repository contains the PyTorch implementation for our paper titled StARformer: Transformer with State-Action-Reward Representations.
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