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Search results for python weakly supervised learning

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113 search results found

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

1 Stage Wseg ⭐ 325

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Cross Domain Detection ⭐ 308

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Lotclass ⭐ 231

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

Wildcat.pytorch ⭐ 227

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Dsmil Wsi ⭐ 224

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

Wetectron ⭐ 192

weakly-supervised object detection platform.

Chexnet With Localization ⭐ 181

Weakly Supervised Learning for Findings Detection in Medical Images

Codes for our paper "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Basnet Pytorch ⭐ 171

Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)

Wsl4mis ⭐ 160

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).

Self-training with Weak Supervision (NAACL 2021)

C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)

Frozenbilm ⭐ 120

[NeurIPS 2022] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Rigid3dsceneflow ⭐ 112

[CVPR 2021, Oral] "Weakly Supervised Learning of Rigid 3D Scene Flow"

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Countseg ⭐ 102

Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019

Implementation of Knowledge Aided Consistency for Weakly Supervised Phrase Grounding in Tensorflow

Amazon Weak Ner Needle ⭐ 92

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

Discobox ⭐ 91

The Official PyTorch Implementation of DiscoBox.

CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation (CVPR 2022)

Official PyTorch implementation of "Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation", CVPR2021

Label Reg ⭐ 76

A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

Learning Action Completeness From Points ⭐ 76

Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

Weshclass ⭐ 67

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Deviation Network ⭐ 64

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Higitclass ⭐ 62

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

Weakly supervised medical named entity classification

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

Hierarchical Metadata-Aware Document Categorization under Weak Supervision (WSDM'21)

Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)

Westclass ⭐ 47

[CIKM 2018] Weakly-Supervised Neural Text Classification

Simple Does It Weakly Supervised Instance And Semantic Segmentation ⭐ 44

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

[ICCV 2023] Official code release of our paper "Referring Image Segmentation Using Text Supervision"

Drn Wsod Pytorch ⭐ 39

Enabling Deep Residual Networks for Weakly Supervised Object Detection

Weakly-Supervised-Learning, Semantic Segmentation, CVPR 2023

MoPro: Webly Supervised Learning

Concept Based Xai ⭐ 37

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Coarse3d ⭐ 35

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)

[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Dcsp_segmentation ⭐ 33

Sam_wsss ⭐ 31

SAM Enhance Mask Quality for WSSS: This repository provides tools for generating, evaluating, and visualizing enhanced pseudo masks for Weakly Supervised Semantic Segmentation (WSSS) using the Segment Anything Model (SAM).

Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]

Code for the paper "Contextualized Weak Supervision for Text Classification"

Codes for our paper "Deep Patch Learning for Weakly Supervised Object Classification and Discovery".

This is the official repo of paper accepted in AAAI 2023 Oral.

[IJCAI'23] Complete Instances Mining for Weakly Supervised Instance Segmentation

Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)

Spml Acktheunknown ⭐ 28

[ECCV 2022] Offical implementation of the paper "Acknowledging the Unknown for Multi-label Learning with Single Positive Labels".

Chmm Alt ⭐ 27

Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"

[Codes of CVPR'21 paper] CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

The official implementation of 'Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation' (CVPR 2022)

Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

Multiscale Adversarial Attention Gates ⭐ 24

Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).

Backtoreality ⭐ 23

[CVPR 2022] Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

Deep Segmentation Features For Weakly Supervised 3d Disease Classification In Chest Ct ⭐ 21

Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

WSI classification

Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)

Fetalnav ⭐ 20

Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)

Box2mask ⭐ 19

Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

Deep Active Learning For Joint Classification And Segmentation With Weak Annotator ⭐ 18

Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

Official PyTorch implementation of "Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds", CVPR2022

Wsol Min Max Entropy Interpretability ⭐ 16

Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

Rendezvous ⭐ 14

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.

Wss Cmer ⭐ 14

Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf

Official repository of the "Shatter and Gather: Learning Referring Image Segmentation with Text Supervision (ICCV'23)"

Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine

Photo Sketch Correspondence ⭐ 13

Official PyTorch implementation of Learning Dense Correspondences between Photos and Sketches, ICML 2023.

[ICCV 2023] HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning

Motifclass ⭐ 12

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information (WSDM'22)

[IEEE TIP 2022] Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

Code for the Paper "LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks"

Hyperpartisan News Detection ⭐ 11

SemEval 2019 Task 4: Hyperpartisan News Detection

Category-Aware Spatial Constraint for Weakly Supervised Detection

This is the implementation of BES (Weakly supervised Semantic Segmentation with Boundary Exploration), that is published in ECCV 2020.

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)

Rpnet Weakly Supervised Segmentation ⭐ 10

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers (ICCV 2023)

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding (CVPR 2023)

[NeurIPS 2022 Spotlight] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"

(1) Purpose: A weakly supervised surface defect detection model using image-level labels for simultaneous classification and segmentation. (2) Experiments: run on 4 datasets, including KolektorSDD2(KSDD2), DAGM 1-10, KolektorSDD(KSDD), Severstal Steel, the classification average precision (AP) reaches 96.0%, 100%, 97.1%, 97.7%,respectively. (1)用途：一种使用图像级标签的弱监督表面缺陷检测模型，可同时进行分类和分割。 (2)实验：在4个数据集上实验，包括KolektorSDD2(KSDD2), DAGM 1-10, KolektorSDD(KSDD), Severstal Steel，分类平均精确率(AP)分别达到96.0%, 100%, 97.1

Lane Detection ⭐ 8

Weakly-supervised road-lane markings detection for autonomous driving, mitigating the lack of training data

Hyperpartisan News Detection ⭐ 8

SemEval 2019 Task 4: Hyperpartisan News Detection

UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection

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