High-quality proposals for weakly supervised object detection
G Cheng, J Yang, D Gao, L Guo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Despite significant efforts made so far for Weakly Supervised Object Detection (WSOD),
proposal generation and proposal selection are still two major challenges. In this paper, we …
proposal generation and proposal selection are still two major challenges. In this paper, we …
UWSOD: Toward fully-supervised-level capacity weakly supervised object detection
Weakly supervised object detection (WSOD) has attracted extensive research attention due
to its great flexibility of exploiting large-scale dataset with only image-level annotations for …
to its great flexibility of exploiting large-scale dataset with only image-level annotations for …
In-sample contrastive learning and consistent attention for weakly supervised object localization
Weakly supervised object localization (WSOL) aims to localize the target object using only
the image-level supervision. Recent methods encourage the model to activate feature maps …
the image-level supervision. Recent methods encourage the model to activate feature maps …
Weakly supervised instance segmentation by deep community learning
We present a weakly supervised instance segmentation algorithm based on deep
community learning with multiple tasks. This task is formulated as a combination of weakly …
community learning with multiple tasks. This task is formulated as a combination of weakly …
Progressive enhancement network with pseudo labels for weakly supervised temporal action localization
Weakly supervised temporal action localization (WSTAL) is crucial for real world
applications, as it relieves the huge burden of frame-level annotations for fully supervised …
applications, as it relieves the huge burden of frame-level annotations for fully supervised …