Multiple disease detection method for greenhouse-cultivated strawberry based on multiscale feature fusion Faster R_CNN
S Zhao, J Liu, S Wu - Computers and electronics in agriculture, 2022 - Elsevier
Disease has a significant impact on strawberry quality and yield, and deep learning has
become an important approach for the detection of crop disease. To address the problems of …
become an important approach for the detection of crop disease. To address the problems of …
Bottom-up/top-down image parsing with attribute grammar
F Han, SC Zhu - IEEE transactions on pattern analysis and …, 2008 - ieeexplore.ieee.org
This paper presents a simple attribute graph grammar as a generative representation for
made-made scenes, such as buildings, hallways, kitchens, and living rooms, and studies an …
made-made scenes, such as buildings, hallways, kitchens, and living rooms, and studies an …
A stochastic graph grammar for compositional object representation and recognition
This paper illustrates a hierarchical generative model for representing and recognizing
compositional object categories with large intra-category variance. In this model, objects are …
compositional object categories with large intra-category variance. In this model, objects are …
Commonsense Knowledge-Driven Joint Reasoning Approach for Object Retrieval in Virtual Reality
National Key Laboratory of General Artificial Intelligence, Beijing Institute for General
Artificial Intelligence (BIGAI), China Retrieving out-of-reach objects is a crucial task in virtual …
Artificial Intelligence (BIGAI), China Retrieving out-of-reach objects is a crucial task in virtual …
Inference and learning with hierarchical shape models
I Kokkinos, A Yuille - International Journal of Computer Vision, 2011 - Springer
In this work we introduce a hierarchical representation for object detection. We represent an
object in terms of parts composed of contours corresponding to object boundaries and …
object in terms of parts composed of contours corresponding to object boundaries and …
Object categorization with sketch representation and generalized samples
In this paper, we present a framework for object categorization via sketch graphs that
incorporate shape and structure information. In this framework, we integrate the learnable …
incorporate shape and structure information. In this framework, we integrate the learnable …
Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth
SS Gleason, M Dema, H Sari-Sarraf… - … and Remote Sensing …, 2011 - ieeexplore.ieee.org
As a result of increasing geospatial image libraries, many algorithms are being developed to
automatically extract and classify regions of interest from these images. However, limited …
automatically extract and classify regions of interest from these images. However, limited …
An algorithm for joint vector quantizer and halftoner design
Due to overwhelming use of 3D models in video games and virtual environments, there is a
growing interest in 3D scene generation, scene understanding and 3D model retrieval. In …
growing interest in 3D scene generation, scene understanding and 3D model retrieval. In …
3D scene generation by learning from examples
MA Dema, H Sari-Sarraf - 2012 IEEE International Symposium …, 2012 - ieeexplore.ieee.org
Due to overwhelming use of 3D models in video games and virtual environments, there is a
growing interest in 3D scene generation, scene understanding and 3D model retrieval. In …
growing interest in 3D scene generation, scene understanding and 3D model retrieval. In …
Learning compositional sparse models of bimodal percepts
Various perceptual domains have underlying compositional semantics that are rarely
captured in current models. We suspect this is because directly learning the compositional …
captured in current models. We suspect this is because directly learning the compositional …