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vit-wsi-repo

vsr

The 4D Cardiac MRI Video Super-Resolution.

w-h-zhang.github.io

waifu2x

PyTorch on Super Resolution

wcl

Weakly Supervised Contrastive Learning

wdsr

A Pytorch implement of the paper 2018 NTIRE No.1 paper 《Wide Activation for Efficient and Accurate Image Super-Resolution》

wdsr_ntire2018

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

weaksupervisedsegmentationlist

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

whale-identification-2018

Solution to Whale Identification Challenge 2018

wmhchallenge

Example docker containers for the WMH Segmentation Challenge

wsss-analysis

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

wtal-uncertainty-modeling

Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)

wtalc-pytorch

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

xvit_video_transformers

[NeurIPS 2021] Space-time Mixing Attention for Video Transformer

youtube8mchallenge

1st place solution to Kaggle's 2018 YouTube-8M Video Understanding Challenge

zooming-slow-mo-cvpr-2020

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

zoommil

ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) classification.