Tensorflow implementation of "Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization"[ICCV 2017]
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Updated
Mar 29, 2019 - Jupyter Notebook
Tensorflow implementation of "Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization"[ICCV 2017]
Code for the Paper "LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks"
CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).
Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.
Code for paper Unsupervised Object Segmentation by Redrawing
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR'19].
Weakly Supervised Learning Framework for Image Segmentation Tasks
I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based on resnet50 network, I implemented text detector using class activation mapping method.
[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
Self-produced Guidance for Weakly-supervised Object Localization
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