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anatomic-landmark-detection

bayesian-crowd-counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

bilinear-matching-network

Official implementation for CVPR 2022 paper "Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting".

blackbean_flare22

Champion Solution of MICCAI FLARE22 Challenge based on nnU-Net.

connect4

Connect 4 Solver

connect_four

connect_four

contourhuggingheatmaps

ctpelvic1k

Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

datastructurestudy

dm-count

Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.

educational_administration_system

爬厦门大学嘉庚学院教务系统

efficientsegmentation

Segmentation for medical image.

eightdigit

everydaylim

每日lim

farnet

we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.

fast_uot

[AISTATS22] This is a repository which computes Unbalanced Optimal Transport in faster settings.

flowers

foodrandom

foveatedpyramid

fracnet

[EBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

generalizedloss-counting-pytorch

official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"

generalizedloss-counting-pytorch-semi

unoffical implement for Learning to Count via Unbalanced Optimal Transport

gitskills

grammer-analysis

grammer analysis

hdc-net

HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation

knight_hamilton

kpg-rl

Keypoint-Guided Optimal Transport (NeurIPS 2022)

learngit

learningtocountanything

This is the official implementation of: Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision Michael Hobley, Victor Prisacariu

medicaldataaugmentationtool-heatmapregression