tkkim93 Goto Github PK

ape

[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

awesome-person-re-identification

Awesome person re-identification

cvpr19_diversify

da

Unsupervised Domain Adaptation Papers and Code

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

divmatch

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

fast-neural-style

Feedforward style transfer

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gasda

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019

jponttuset.github.io

My personal webpage

learningrigidity

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

models

Models and examples built with TensorFlow

pointmvsnet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral)

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

rdnet

sec

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

sec.pytorch

PyTorch implementation of "Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation."

self-mono-sf

Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

simmim

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

strotss

Style Transfer by Relaxed Optimal Transport and Self-Similarity (CVPR 2019)

test

tf-slim

tkkim93.github.io

My personal homepage

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities