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A Visual Vocabulary for Flower Classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-47977-5_17openalex-snapshot
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence
inferredcites →https://doi.org/10.1023/b:visi.0000027790.02288.f2openalex-snapshot
Scale & Affine Invariant Interest Point Detectors
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/cvpr.2003.1211361openalex-snapshot
The optimal distance measure for object detection
inferredcites →https://doi.org/10.1109/cvpr.2005.16openalex-snapshot
A Bayesian Hierarchical Model for Learning Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2005.362openalex-snapshot
Using the Inner-Distance for Classification of Articulated Shapes
inferredcites →https://doi.org/10.1109/iccv.2001.937505openalex-snapshot
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
inferredcites →https://doi.org/10.1109/iccv.2003.1238311openalex-snapshot
Epitomic analysis of appearance and shape
inferredcites →https://doi.org/10.1109/iccv.2003.1238407openalex-snapshot
Selection of scale-invariant parts for object class recognition
inferredcites →https://doi.org/10.1109/iccv.2005.152openalex-snapshot
Modeling scenes with local descriptors and latent aspects
inferredcites →https://doi.org/10.1109/tip.2004.826126openalex-snapshot
Matching Shapes With Self-Intersections: Application to Leaf Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
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Learning with Similarity Functions: a Tensor-Based Framework
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Fast and General Incomplete Multi-view Adaptive Clustering
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RETRACTED ARTICLE: Fuzzy rule based ontology reasoning
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Statistical binary patterns and post-competitive representation for pattern recognition
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LSSMSD: defending against black-box DNN model stealing based on localized stochastic sensitivity
inferred← citeshttps://doi.org/10.1007/s13735-015-0086-zopenalex-snapshot
Bregman pooling: feature-space local pooling for image classification
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Convex hull-based distance metric learning for image classification
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A new genetic programming approach to fine-grained flower image classification
inferred← citeshttps://doi.org/10.1007/s41688-020-00037-zopenalex-snapshot
Recurrence quantification analysis statistics for image feature extraction and classification
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Flower image segmentation with PCA fused colored covariance and gabor texture features based level sets
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An approach based on simulated annealing to optimize the performance of extraction of the flower region using mean-shift segmentation
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Towards fine-grained maize tassel flowering status recognition: Dataset, theory and practice
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2013.12.008openalex-snapshot
Automatic fruit recognition and counting from multiple images
inferred← citeshttps://doi.org/10.1016/j.cageo.2019.104330openalex-snapshot
Deep convolutions for in-depth automated rock typing
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Classification of flower image based on attention mechanism and multi-loss attention network
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Crowdsourcing for botanical data collection towards to automatic plant identification: A review
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A vision-based hybrid approach for identification of Anthurium flower cultivars
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Object detection and tracking in Precision Farming: a systematic review
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Harnessing deep learning for plant species classification: A comprehensive review
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Chrysanthemum classification method via multi-stream deep color space feature fusion
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Graph Convolutional Networks based on manifold learning for semi-supervised image classification
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SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection
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Real-world plant species identification based on deep convolutional neural networks and visual attention
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Large-scale zero-shot learning in the wild: Classifying zoological illustrations
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Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions
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Semantic Guided Interactive Image Retrieval for plant identification
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Random subspace and random projection nearest neighbor ensembles for high dimensional data
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L1-norm plus L2-norm sparse parameter for image recognition
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A new challenging image dataset with simple background for evaluating and developing co-segmentation algorithms
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Improved fine-grained object retrieval with Hard Global Softmin Loss objective
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Delving deeper into the whorl of flower segmentation
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Improvements in image categorization using codebook ensembles
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Benchmark database for fine-grained image classification of benthic macroinvertebrates
inferred← citeshttps://doi.org/10.1016/j.inffus.2018.11.004openalex-snapshot
Content based image retrieval using image features information fusion
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Tensor-based restricted kernel machines for multi-view classification
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Online primal–dual learning for a data-dependent multi-kernel combination model with multiclass visual categorization applications
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Local phase quantization plus: A principled method for embedding local phase quantization into Fisher vector for blurred image recognition
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Birds of a feather flock together: Visual representation with scale and class consistency
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Beyond global fusion: A group-aware fusion approach for multi-view image clustering
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Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications
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Object recognition via contextual color attention
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A site entropy rate and degree centrality based algorithm for image co-segmentation
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Unsupervised discriminative hashing
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Store classification using Text-Exemplar-Similarity and Hypotheses-Weighted-CNN
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Atom specific multiple kernel dictionary based Sparse Representation Classifier for medium scale image classification
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Weakly supervised learning based on hypergraph manifold ranking
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Fast low rank representation based spatial pyramid matching for image classification
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