Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3150843
Abstract: Weakly supervised object detection (WSOD) in remote sensing images (RSI) only require image-level labels to detect various objects. Most of the WSOD methods incline to capture the most discriminative parts of object rather than the… read more here.
Keywords: remote sensing; weakly supervised; completeness; supervised object ... See more keywords
SAENet: Self-Supervised Adversarial and Equivariant Network for Weakly Supervised Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3105575
Abstract: Weakly supervised object detection (WSOD) in remote sensing images (RSIs) remains a challenge when learning a subtle object detection model with only image-level annotations. Most works tend to optimize the detection model via exploiting the… read more here.
Keywords: remote sensing; weakly supervised; self supervised; detection ... See more keywords
Self-guided Proposal Generation for Weakly Supervised Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3181466
Abstract: Weakly Supervised Object Detection (WSOD) in remote sensing images remains a challenging task when learning object detectors with only image-level labels. As we know, object proposal generation plays a crucial role in WSOD. At present,… read more here.
Keywords: map; weakly supervised; proposal; supervised object ... See more keywords
HiCT: Hierarchical Comprehend of Transformer for Weakly Supervised Object Localization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3261939
Abstract: The weakly supervised object localization (WSOL) has always been a very challenging research subject in the field of computer vision, which aims to predict the localization of objects in an image using only an image-level… read more here.
Keywords: localization; weakly supervised; supervised object; object localization ... See more keywords
Diverse Complementary Part Mining for Weakly Supervised Object Localization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3145238
Abstract: Weakly Supervised Object Localization (WSOL) aims to localize objects with only image-level labels, which has better scalability and practicability than fully supervised methods in the actual deployment. However, a common limitation for available techniques based… read more here.
Keywords: part; object; weakly supervised; object localization ... See more keywords
Weakly Supervised Object Detection with Symmetry Context
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091832
Abstract: Recently, weakly supervised object detection (WSOD) with image-level annotation has attracted great attention in the field of computer vision. The problem is often formulated as multiple instance learning in the existing studies, which are often… read more here.
Keywords: detection symmetry; weakly supervised; symmetry context; supervised object ... See more keywords