taohan10200 Goto Github PK

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

awesome-crowd-counting

Awesome Crowd Counting

awesome-crowd-localization

Awesome Crowd Localization

awesome_ai4earth

Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

chenbong

clonereptest

cra5

A large compression model for weather and climate data, which compresses a 200+ TB ERA5 dataset into a new 0.7TB CRA5 dataset.

drnet

PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fengwu-ghr.onnx

The main goal of FengWu-GHR is to enable LWM inference with minimal setup and state-of-the-art performance on a wide variety of hardware - locally and in the cloud.

gjy3035

profile

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

hrvit

HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.

iim

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mtobeiyf

nlt

PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks.

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

steerer

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023

stock_predict_with_lstm

Predict stock with LSTM supporting pytorch, keras and tensorflow

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

taohan10200

taohan10200.github.io

TaoHan's HomePage

usadtm

PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)