Zhao et al., 2023 - Google Patents
RGRN: Relation-aware graph reasoning network for object detectionZhao et al., 2023
- Document ID
- 15273769206826463867
- Author
- Zhao J
- Chu J
- Leng L
- Pan C
- Jia T
- Publication year
- Publication venue
- Neural Computing and Applications
External Links
Snippet
In the field of object detection, due to the complexity of realistic scenarios, the objects are mostly obscured and semantic-confusable. The existing CNNs-based object detectors focus only on the information within the region proposal and ignore the auxiliary role of objects …
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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