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wavetorch

🌊 Numerically solving and backpropagating through the wave equation

weakly-supervised-detr

Official codebase for the WACV 2023 paper: Scaling Novel Object Detection with Weakly Supervised Detection Transformers. https://arxiv.org/abs/2207.05205

weakly-supervised-object-localization-paper-list

Weakly Supervised Object Localization Paper List

weaklysegpointanno

weaksupervisedsegmentationlist

This repository contains lists of state-or-art weakly supervised semantic segmentation works

weighted-boxes-fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

weightwatcher

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

weno

Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

what

Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

why-clipping-accelerates

A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity

wiener-filter-image-restoration

An Wiener Filter Implementation for Image Processing Task

wsis-boundingbox

Pytorch implementation for paper "Bounding Box Tightness Prior for Weakly Supervised Image Segmentation" accepted in MICCAI 2021

wsis_bbtp

Implementation of NeurIPS 2019 paper "Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior"

wsod-paper-list

A paper list of state-of-the-art weakly supervised object detection or localization.

wsolevaluation

Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

xgrad-cam

youtube-bb

Public repo for helpful scripts when using the YouTube Bounding Boxes dataset

yto-dataset

YTO dataset annotations in PASCAL VOC format

zerocostdl4mic

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy