taozh2017 Goto Github PK

ame-cam

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-fast-attention

list of efficient attention modules

awesome-polyp-segmentation

benchmark_results

Visual Tracking Paper List

bric

c2fnet-tscvt

cfanet

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

cvpr2020-code

CVPR 2020 论文开源项目合集

da

Unsupervised Domain Adaptation Papers and Code

dclps

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepv2d

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

dss-msc

Dual Shared-Specific Multiview Subspace Clustering

f2net

fapnet

hinet

Code for TMI 2020 "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis"

inf-net

code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" submit to TMI2020.

jl-dcf-pytorch

Code of JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection(CVPR2020)

lskanet

This is the official code for LSKANet project that can implement precise segmentation of surgical scenes.

ltc-msda

Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

madan

Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

mean-teacher

A state-of-the-art semi-supervised method for image recognition

model-uncertainty-for-adaptation

Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021

mri-tumor-segmentation-brats

MRI medical image segmentation

multi-modal-medical-imaging

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"