My work as part of my MITACS Project on "Weakly supervised object localization in metric learning scenarios".
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Updated
Sep 8, 2023 - Jupyter Notebook
My work as part of my MITACS Project on "Weakly supervised object localization in metric learning scenarios".
Generative Adversarial Learning Towards Fast Weakly Supervised Detection
First position in Gran Canary Datathon 2021
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
[CVPR 2022] official repo of "H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection"
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation
A paper list of Weakly Supervised Object Detection (WSOD) resources.
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
Enabling Deep Residual Networks for Weakly Supervised Object Detection
Category-Aware Spatial Constraint for Weakly Supervised Detection
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
[ECCV2022] Official Pytorch Implementation of Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
Code for the AAAI 2023 paper "Weakly-Supervised Camouflaged Object Detection with Scribble Annotations"
[ICRA 2021] FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
Codes for CVPR2021 paper "Shallow Feature Matters for Weakly Supervised Object Localization"
Enabling Deep Residual Networks for Weakly Supervised Object Detection
Noise-Aware Fully Webly Supervised Object Detection
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