Weakly supervised learning framework for classification.
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Updated
Nov 22, 2020 - Python
Weakly supervised learning framework for classification.
Presented as full paper in ACM MM 2018
code for paper:Utilizing Bounding Box Annotations for Weakly Supervised Building Extraction from Remote Sensing Images
Classification of chest CT using caselevel weak supervision
code for our MICCAI2024 paper 'A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation'.
Automatic Construction of a Chinese Review Dataset for Aspect Sentiment Triplet Extraction via Iterative Weak Supervision
A PyTorch re-implementation of Weakly Supervised Facial Action Unit Recognition through Adversarial Training
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation, in ECCV 2020
The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).
FreeEnricher: Enriching Face Landmarks without Additional Cost [Official, AAAI 2023]
PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)
Codes for CVPR2021 paper "Shallow Feature Matters for Weakly Supervised Object Localization"
Neurips 2020 paper on weakly supervised deep functional maps for shape matching
Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis
Implementation of paper "Not All Frames Are Equal: Weakly-Supervised Video Grounding with Contextual Similarity and Visual Clustering Losses"
[ECCV 2022] Official Python implementation of BiB: Active Learning Strategies for Weakly-Supervised Object Detection.
a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
Soft Proposal Networks for Weakly Supervised Object Localization, in ICCV 2017
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