JatinArutla

JatinArutla's Stars

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.9k3728.4k9.5k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.2k47197629

• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Language:Python2.1k4082228

• AMLab-Amsterdam/AttentionDeepMIL

  Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

  Language:Python8461821189

• zhirongw/lemniscate.pytorch

  Unsupervised Feature Learning via Non-parametric Instance Discrimination

  Language:Python7511229134

• XiaLiPKU/EMANet

  The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

  Language:Python6812154129

• YudeWang/SEAM

  Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

  Language:Python542104697

• unsky/focal-loss

  Focal loss for Dense Object Detection

  Language:Python4862527123

• rsummers11/CADLab

  Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

  Language:C++4472935186

• landskape-ai/triplet-attention

  Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

  Language:Jupyter Notebook416102650

• houqb/SPNet

  Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"

  Language:Python392152257

• meliketoy/graph-cnn.pytorch

  Pytorch Implementation for Graph Convolutional Neural Networks

  Language:Python3259276

• jfhealthcare/Chexpert

  Top 1 solution of Chexpert

  Language:Python25273093

• unsky/RetinaNet

  Focal loss for Dense Object Detection

  Language:Python225101564

• nyukat/GMIC

  An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

  Language:Jupyter Notebook172102949

• agaldran/balanced_mixup

  Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification

  Language:Python69356

• tzzcl/PSOL

  code repository of “Rethinking the Route Towards Weakly Supervised Object Localization” in CVPR 2020

  Language:Python6942019

• stanfordmlgroup/MoCo-CXR

  MoCo-based unsupervised training for Chest X-Ray Interpretation

  Language:Python41537

• GeoffreyChen777/DDT

  Third-party PyTorch implementation of DDT(Unsupervised object discovery and co-localization by deep descriptor transformation)

  Language:Python38230

• ssedai026/uncertainty-segmentation

  Uncertainty quantification for semantic image segmentation models using Monte Carlo dropout method

  Language:Python16100

• romanovar/evaluation_MIL

  Language:Python15313

• sangjoon-park/AI-Can-Self-Evolve

  Language:Python15211

• ryylcc/OWSOL

  Language:Python14121

• alinstein/X_RAY

  Weakly supervised Classification and Localization of Chest X-ray images

  Language:Python9224

• ilaiw/CXR-lung-segmentation

  Language:Jupyter Notebook9002

• rjrobben/MICLe_pytorch

  Unoffitial implementation of the MICLe in pytorch.

  Language:Python9200

• rkarmaka/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning

  41

• lucananni93/Hidden-Markov-Random-Fields

  Implementation of HMRF in Python

  Language:Python3103

• saeid436/HMRF-EM-image

  Hidden Markov Random Field Model and its Expectation-Maximization

  Language:Python2101