Weakly supervised object localization and detection: A survey
As an emerging and challenging problem in the computer vision community, weakly
supervised object localization and detection plays an important role for developing new …
supervised object localization and detection plays an important role for developing new …
Instance-aware, context-focused, and memory-efficient weakly supervised object detection
Weakly supervised learning has emerged as a compelling tool for object detection by
reducing the need for strong supervision during training. However, major challenges …
reducing the need for strong supervision during training. However, major challenges …
Erasing integrated learning: A simple yet effective approach for weakly supervised object localization
Weakly supervised object localization (WSOL) aims to localize object with only weak
supervision like image-level labels. However, a long-standing problem for available …
supervision like image-level labels. However, a long-standing problem for available …
Weakly supervised rotation-invariant aerial object detection network
Object rotation is among long-standing, yet still unexplored, hard issues encountered in the
task of weakly supervised object detection (WSOD) from aerial images. Existing …
task of weakly supervised object detection (WSOD) from aerial images. Existing …
Weakly supervised object detection using proposal-and semantic-level relationships
D Zhang, W Zeng, J Yao, J Han - IEEE Transactions on Pattern …, 2020 - ieeexplore.ieee.org
In recent years, weakly supervised object detection has attracted great attention in the
computer vision community. Although numerous deep learning-based approaches have …
computer vision community. Although numerous deep learning-based approaches have …
Strengthen learning tolerance for weakly supervised object localization
Weakly supervised object localization (WSOL) aims at learning to localize objects of interest
by only using the image-level labels as the supervision. While numerous efforts have been …
by only using the image-level labels as the supervision. While numerous efforts have been …
Boosting weakly supervised object detection via learning bounding box adjusters
Weakly-supervised object detection (WSOD) has emerged as an inspiring recent topic to
avoid expensive instance-level object annotations. However, the bounding boxes of most …
avoid expensive instance-level object annotations. However, the bounding boxes of most …
Deep learning for weakly-supervised object detection and localization: A survey
Abstract Weakly-Supervised Object Detection (WSOD) and Localization (WSOL), ie.,
detecting multiple and single instances with bounding boxes in an image using image-level …
detecting multiple and single instances with bounding boxes in an image using image-level …
Towards bridging event captioner and sentence localizer for weakly supervised dense event captioning
Abstract Dense Event Captioning (DEC) aims to jointly localize and describe multiple events
of interest in untrimmed videos, which is an advancement of the conventional video …
of interest in untrimmed videos, which is an advancement of the conventional video …
Mining high-quality pseudo instance soft labels for weakly supervised object detection in remote sensing images
Weakly supervised object detection in remote sensing images (RSI) is still a challenge
because of the lack of instance-level labels, and many existing methods have two problems …
because of the lack of instance-level labels, and many existing methods have two problems …