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07/17/2023
DARTS: Double Attention Reference-based Transformer for Super-resolution
We present DARTS, a transformer model for reference-based image super-re...
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12/09/2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Machine learning systems deployed in the wild are often trained on a sou...
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05/17/2021
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and h...
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05/13/2021
Global Wheat Challenge 2020: Analysis of the competition design and winning models
Data competitions have become a popular approach to crowdsource new data...
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09/23/2020
Pruning Convolutional Filters using Batch Bridgeout
State-of-the-art computer vision models are rapidly increasing in capaci...
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09/02/2020
Unsupervised Domain Adaptation For Plant Organ Counting
Supervised learning is often used to count objects in images, but for co...
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07/17/2020
AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images
Counting plant organs such as heads or tassels from outdoor imagery is a...
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01/09/2020
Multi-Scale Weight Sharing Network for Image Recognition
In this paper, we explore the idea of weight sharing over multiple scale...
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06/18/2019
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features
Lodging, the permanent bending over of food crops, leads to poor plant g...
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04/17/2019
Sparseout: Controlling Sparsity in Deep Networks
Dropout is commonly used to help reduce overfitting in deep neural netwo...
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05/28/2018
Object Counting with Small Datasets of Large Images
We explore the problem of training one-look regression models for counti...
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05/01/2018
Semantic Binary Segmentation using Convolutional Networks without Decoders
In this paper, we propose an efficient architecture for semantic image s...
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04/21/2018
Bridgeout: stochastic bridge regularization for deep neural networks
A major challenge in training deep neural networks is overfitting, i.e. ...
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03/14/2018
Improving Object Counting with Heatmap Regulation
In this paper, we propose a simple and effective way to improve one-look...
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09/30/2017
DeepWheat: Estimating Phenotypic Traits From Images of Crops Using Deep Learning
In this paper, we investigate the problem of estimating the phenotypic t...
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08/24/2017
Leaf Counting with Deep Convolutional and Deconvolutional Networks
In this paper, we investigate the problem of counting rosette leaves fro...
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06/13/2017