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   Articles with "supervised object" as a keyword



Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images

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recommendations! 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

Learning Local Semantic Region Activations for Weakly Supervised Object Localization

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3404100

Abstract: Weakly supervised object localization (WSOL) aims to train instance-level locators by exploiting accessible image-level labels. By multiplying channel-wise features with classification weights and then adding them together, most prior works follow the pipeline of the… read more here.

Keywords: object localization; weakly supervised; supervised object; activation ... See more keywords

SAENet: Self-Supervised Adversarial and Equivariant Network for Weakly Supervised Object Detection in Remote Sensing Images

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recommendations! 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

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recommendations! 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

Attention Erasing and Instance Sampling for Weakly Supervised Object Detection

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3339956

Abstract: Weakly supervised object detection (WSOD) trains detectors by only weak labels, aiming to save the burden of expensive bounding box-level annotations. Most previous efforts formulate WSOD as a multiple instance learning (MIL) problem, which is… read more here.

Keywords: object detection; instance; weakly supervised; supervised object ... See more keywords

HiCT: Hierarchical Comprehend of Transformer for Weakly Supervised Object Localization

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recommendations! 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
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Diverse Complementary Part Mining for Weakly Supervised Object Localization

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recommendations! 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

Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption

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recommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2024.3411036

Abstract: Weakly supervised object localization (WSOL), adopting only image-level annotations to learn the pixel-level localization model, can release human resources in the annotation process. Most one-stage WSOL methods learn the localization model with multi-instance learning, making… read more here.

Keywords: wsol; weakly supervised; supervised object; adaption ... See more keywords

Weakly Supervised Object Detection with Symmetry Context

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recommendations! 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