miao-j Goto Github PK

3d-pointcloud

Papers and Datasets about Point Cloud.

bike

ca-mkd

This is the implementation for the ICASSP-2022 paper (Confidence-Aware Multi-Teacher Knowledge Distillation).

cs231n.github.io

Public facing notes page

cs231nassignment

Stanford CS231n assignment in 2019 spring

cwt-for-fss

Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

exposure-fusion-shadow-removal

We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.

feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

flip00

Data Science, FLIP

flip01

python data-science jupyter-notebook tuliplab

futoshiki-solver

A python solver of futoshikis from an image

ghost-free-shadow-removal

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

hsnet

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021

inat_comp

iNaturalist competition details

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

mpl-pytorch

Unofficial PyTorch implementation of "Meta Pseudo Labels"

ndos-dataset

one-shot-texture-segmentation

Code to generate data used in One-shot Texture Segmentation paper

os-tr

os2d

Code for "OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features", ECCV 2020

oslsm

One-shot Learning for Semantic Segmentation

pfenet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

puzzlecam

Puzzle-CAM: Improved localization via matching partial and full features.