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Pinned repositories
Repositories
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cifair
A duplicate-free variant of the CIFAR test set.
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cn24
Convolutional (Patch) Networks for Semantic Segmentation
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semantic-embeddings
Hierarchy-based Image Embeddings for Semantic Image Retrieval
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eu-flood-dataset
Dataset with images from the central European flood 2013 for usage in the context of context-based image retrieval.
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libmaxdiv
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
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cn24-active
Code for "Active Learning for Deep Object Detection"
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nice-core
Computer vision library with interfaces for IPP and LinAL
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artos
Adaptive Real-Time Object Detection System with HOG and CNN Features
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alpha_pooling
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
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classification_framework_py
Simple image classification framework written in Python
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cnn-models
ImageNet pre-trained models with batch normalization for the Caffe framework
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caffe_pp2
Custom caffe with signed power, compact bilinear and spatial transformer layer.
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darknet
Extension of the public darknet repository with additional features and code improvements for YOLO.
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costarica-moths
Image Dataset of Costa-Rica Moths for Fine-grained Recognition
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labelmefacade
LabelMeFacade Dataset
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ecuador-moths
Images of Ecuador Moths for Fine-grained Recognition
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whoGeneric
Generic version of WHO for object detection with LDA models
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analyzing-chimpanzees
several tasks with chimpanzees, e.g., age recognition, identification, gender prediction, etc.
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caffe_tools
Matlab wrapper functionality for recent Caffe layout
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chimpanzee_faces
Two datasets of chimpanzee faces with curated meta data such as age, gender, and identity.
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gp-hik-core
Fast Gaussian process inference with HIK
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part_constellation_models
Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
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caffe_pp
Modified version of the caffe CNN framework (https://github.com/BVLC/caffe).
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patchDiscovery
Discover (discriminative) mid-level patches in an (un-)supervised manner.
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