A Weakly Supervised Approach for Disease Segmentation of Maize Northern Leaf Blight from UAV Images

OCCURRENCE OF NORTHERN LEAF BLIGHT, Phaeosphaeria LEAF SPOT , SOUTHERN LEAF BLIGHT, RUST AND MAIZE STREAK VIRUS IN KENYA

Weakly-Supervised Segmentation of Non-Gaussian Images via Histogram Adaptation

Here we apply an active contour model that allows for arbitrary intensity distributions inside and outside the boundary of an object to be segmented in an image. Computationally, we estimate intensity histograms both inside and outside the current boundary estimate, and use these histograms to define an image energy as their log-likelihood ratio. Training the model with accurate example segment...

Weakly supervised learning from images and videos∗

With the amount of on-line available digital content growing daily, large-scale, weakly supervised learning is becoming more and more important. In this talk we present some recent results for weakly supervised learning from images and videos. Standard approaches to object category localization require bounding box annotations of object instances. This time-consuming annotation process is sides...

Weakly Supervised RBM for Semantic Segmentation

In this paper, we propose a weakly supervised Restricted Boltzmann Machines (WRBM) approach to deal with the task of semantic segmentation with only image-level labels available. In WRBM, its hidden nodes are divided into multiple blocks, and each block corresponds to a specific label. Accordingly, semantic segmentation can be directly modeled by learning the mapping from visible layer to the h...

Sparse Reconstruction for Weakly Supervised Semantic Segmentation

We propose a novel approach to semantic segmentation using weakly supervised labels. In traditional fully supervised methods, superpixel labels are available for training; however, it is not easy to obtain enough labeled superpixels to learn a satisfying model for semantic segmentation. By contrast, only image-level labels are necessary in weakly supervised methods, which makes them more practi...