Git Product home page Git Product logo

CVIP's Projects

mssa icon mssa

Code for the paper Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars

mst icon mst

TensorFlow code for our ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"

mst-plus-plus icon mst-plus-plus

"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

mt-gan-pytorch icon mt-gan-pytorch

PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"

mt-uda icon mt-uda

[MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"

mt-unet icon mt-unet

Mixed Transformer UNet for Medical Image Segmentation

mug icon mug

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

mugs icon mugs

A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".

multi-source-aps-zvos icon multi-source-aps-zvos

(ACM MM 2021 Oral) Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation

multinet icon multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

multipathnet icon multipathnet

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

multiperson icon multiperson

Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20

munit icon munit

Multimodal Unsupervised Image-to-Image Translation

musesart icon musesart

An Android demonstration application for paper "Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory" 基于小米MACE框架的快速风格迁移应用

mutual-channel-loss icon mutual-channel-loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

mutualguide icon mutualguide

[ACCV2020]"Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection"

mutualnet icon mutualnet

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution (ECCV'20 Oral)

mvit icon mvit

Code Release for MViTv2 on Image Recognition.

mvlt icon mvlt

PyTorch implementation of BMVC2022 paper Masked Vision-Language Transformers for Scene Text Recognition

mvsnerf icon mvsnerf

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

mwcnnv2 icon mwcnnv2

Multi-level Wavelet Convolutional Neural Networks

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.