Nightmare4214's repositories
GeneralizedLoss-Counting-Pytorch-semi
unoffical implement for Learning to Count via Unbalanced Optimal Transport
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
CTPelvic1K
Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.
DM-Count
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
EfficientSegmentation
Segmentation for medical image.
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.
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"
HDC-Net
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation
KPG-RL
Keypoint-Guided Optimal Transport (NeurIPS 2022)
LearningToCountAnything
This is the official implementation of: Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision Michael Hobley, Victor Prisacariu
ocelot-segdet
Submission for the OCELOT Grand Challenge
ocelot23algo
OCELOT 2023: Cell Detection from Cell-Tissue Interaction
Oneshot_landmark_detection
Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)
pytorch-cpn
A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
pytorch_stacked_hourglass
Pytorch implementation of "Stacked Hourglass Networks for Human Pose Estimation"
SPDCN-CAC
BMVC-2022 paper "Scale-Prior Deformable Convolution for Class-Agnostic Counting"(https://bmvc2022.mpi-inf.mpg.de/313)
vtk-examples
This is the VTK Examples Web Site. This is a mirror of the https://gitlab.kitware.com/vtk/vtk-examples repository in order to host web pages. DO NOT SUBMIT MERGE REQUESTS HERE.
wassdistance
Approximating Wasserstein distances with PyTorch
YOLO_Universal_Anatomical_Landmark_Detection
[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657