Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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Updated
Nov 18, 2024 - Python
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Code for ALBEF: a new vision-language pre-training method
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Weakly-supervised object detection.
Mask-Free Video Instance Segmentation [CVPR 2023]
Weakly Supervised Learning for Findings Detection in Medical Images
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
[ICIP 2021] Puzzle-CAM: Improved localization via matching partial and full features.
Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)
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