Code for the AAAI 2023 paper "Weakly-Supervised Camouflaged Object Detection with Scribble Annotations"

Enabling Deep Residual Networks for Weakly Supervised Object Detection

[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

Implementation of Weakly Supervised Deep Detection Networks using latest version of PyTorch on Google Colab.

My work as part of my MITACS Project on "Weakly supervised object localization in metric learning scenarios".