aimerykong/PatchMatchingForPollenIdentification

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MATLAB
Created over 8 years ago
Updated about 7 years ago

aimerykong/PatchMatchingForPollenIdentification

aimerykong

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Selecting discriminative patches to match pollen grains for identification.

deepImageAestheticsAnalysis

ECCV2016 - fine-grained photo aesthetics rating with interpretability

Low-Rank-Bilinear-Pooling

CVPR2017 - an ultra-compact bilinear model for fine-grained classification

Recurrent-Pixel-Embedding-for-Instance-Grouping

CVPR2018 - pixel embedding & grouping for structured prediction, e.g., instance segmentation

predictive-filter-flow

Predictive Filter Flow for fully/self-supervised learning on various vision tasks

Jupyter Notebook

OpenGAN

ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition

Jupyter Notebook

Pixel-Attentional-Gating

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Recurrent-Scene-Parsing-with-Perspective-Understanding-in-the-loop

CVPR2018 - scene parsing network regulated by geometric prior

Dimensional-Emotion-Analysis-of-Facial-Expression

pollenDetClsSystem

Automated Recognition and Counting of Pollen Grain Species from Field Samples

Jupyter Notebook

deepPollen

PNAS 2020 - a pioneering work that greatly enhances plant ecological & evolutionary research using pollen data -- NSF News

wormSegCountSystem

simpleUI_wormAnnotation

a simple UI for annotating C. elegans in images

Identify-Fossil-Pollen-with-Modern-Reference

Match patches with modern pollen grains to identify fossilized grains.

modern_pollen_24wayCls

Joint detection, segmentation and classification with multiplicative architecture.

Jupyter Notebook

Submodular-Exemplar-Selection

The component of submodular exemplar selection for discriminative dictionary to identify pollen grains

MidFea_NSlayer

Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classiﬁcation

videoSeg