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AIHGF's Projects

fcis icon fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

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

fluidnet icon fluidnet

Accelerating Eulerian Fluid Simulation With Convolutional Networks

fusenet icon fusenet

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

gca-matting icon gca-matting

Natural Image Matting via Guided Contextual Attention

gnes icon gnes

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

gpy icon gpy

Gaussian processes framework in python

human-pose-anno icon human-pose-anno

A tool to annotate the joints/parts of human or the bounding box of person in images

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

interpy-zh icon interpy-zh

《Python进阶》(Intermediate Python 中文版)

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

kl-loss icon kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

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