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