77 Open source projects that are alternatives of or similar to RSC-Net

Official Pytorch implementation for 2020 3DV paper "PLACE: Proximity Learning of Articulation and Contact in 3D Environments" and trained models

The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020)

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

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

Model-Contrastive Federated Learning (CVPR 2021)

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

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

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Self-training with Weak Supervision (NAACL 2021)

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

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).

[ICCV21, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

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

Official implementation for "Image Quality Assessment using Contrastive Learning"

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

No description or website provided.

Experiments with supervised contrastive learning methods with different loss functions

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

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

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

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

List of Publications in Graph Contrastive Learning

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

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

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

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

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

A curated (most recent) list of resources for Learning with Noisy Labels

Automatically labeling training data

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

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

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

[CIKM 2018] Weakly-Supervised Neural Text Classification

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

The Official PyTorch Implementation of DiscoBox.

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

(Machine) Learning to Do More with Less

Code for the paper "Contrastive Learning Inverts the Data Generating Process".

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

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

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.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

A curated publication list on weakly-supervised temporal action localization

Weakly supervised medical named entity classification

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

WRENCH: Weak supeRvision bENCHmark

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.

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