Emerging Challenges and Coarse-to-fine Learning
Coarse-to-fine online learning for hand segmentation in egocentric video
... new challenges to hand segmentation tasks, such as the unpredictable environmental ...online learning, a superpixel-level hand classification which coarsely segments hand regions from which stable samples ...
12
Incremental and Multi-Task Learning Strategies for Coarse-To-Fine Semantic Segmentation
... deep learning; hierarchical learning; incremental learning; multi-task learning ...more fine-grained prediction could be ...a coarse set of classes could be predicted first and ...
16
Coarse to Fine Question Answering for Long Documents
... Abstract We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-of- the-art models. While most successful ap- proaches for ...
12
Coarse to Fine Grained Sense Disambiguation in Wikipedia
... training coarse to fine grained sense disambiguation systems that treats annotation inconsistencies in Wikipedia under the framework of learning with positive and unlabeled ...of learning with ...
10
Coarse to Fine Framework for Kidney Tumor Segmentation
... Concat \ \ 2×48×160×160×80 / 2×48×144×144×48 Double Conv 3×3×3 1×1×1 2×24×160×160×80 / 2×24×144×144×48 Final Conv 1×1×1 1×1×1 2×1×160×160×80 / 2×1×144×144×48 Squeeze-Excitation Hybrid Dilated Convolutions In U-like ...
5
Learning Low-rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking
... To be more specific, we extend the classical DCF paradigm from ridge regression to lasso regression, and constrain the estimate to be of low-rank across frames, thus identifying and retaining the informative filters ...
13
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
... Machine comprehension based question answering (QA) tasks have drawn lots of interests from the natural lan- guage understanding research community. During the past several years, lots of progresses have been made on ...
9
Coarse grained and Fine grained Analytics in a Single Framework
... in the cloud. Because of this, they are more suitable for executing asynchronous parallel applications with high computation to communication ratios. Recently, we have observed that more capable hardware comparable to ...
11
Coarse-to-fine eye movement strategy in visual search
... built-in coarse-to-fine mechanism. The coarse-to-fine eye movement behavior further shows that it may be incor- rect to report only means of fixation duration and saccade amplitude in eye movement ...of ...
9
Mechanical Behaviour of Recycled Coarse and Fine Aggregate in Concrete
... principle challenges in our occasions, so solid waste can be changed over into reusable ...of coarse totals can have mechanical properties like those of ordinary cement and even high-quality cement is ...
6
Context based interpolation of coarse deep learning prediction maps for the segmentation of fine structures in immunofluorescence images
... deep learning, random forest, semantic segmentation, ...Machine learning is becoming a key component for the analysis of digital pathology images by enabling accuracy levels that have been difficult to ...
7
Hierarchical Structured Model for Fine to Coarse Manifesto Text Analysis
... Specifically, 13 out of 57 classes are categorized as LEFT , another 13 as RIGHT , and the rest as NEUTRAL . We employ an explicit structured loss which minimizes the deviation between sentence- level LEFT / RIGHT / ...
11
Experimental Studies on Soil Stabilization Using Fine and Coarse GGBS
... International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 3, March 2013) 918 A pozzolanic reaction also takes ...
5
Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
... Last but not least, a lack of effective guidance on path reasoning makes it less efficient in finding potential paths in the large search space of the KG. Due to the large scale of the KG and the unknown destination ...
10
Reproducing a Human Body from Image by Coarse to Fine Technique
... Kohli et al. utilized pose-specific conditional random and stick figures for segmentation, as well as pose estimation of humans within a Bayesian framework, which has been successfully used in 3-D human pose tracking. ...
8
Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention
... sequence learning-based method is different from the ...reinforcement learning framework to learn the semantic dynamics when captioning a ...sequence learning method, many problems still exist in the ...
8
Scalable Feature Extraction for Coarse-to-Fine JPEG2000 Image Classification
... Ours 3.09 Cascade of totally randomized trees on J2K images (with cost constraint = 0.4) Table II compares our system to the state-of-the-art results found in the literature. Our system is similar to the one described in ...
30
Multilevel Coarse to Fine PCFG Parsing
... workload reduction mentioned in Section 1. There are two points of interest. The first is that each level of pruning is worthwhile. We do not get most of the effect from one or the other level. The second point is that ...
8
Parsing TCT with a Coarse to fine Approach
... label as a subsymbol of the clausal and phrasal constituent label merely. The coarse categories in these grammars can be regarded as clusters or equivalence classes of the fine nonterminal categories. We ...
5
Coarse to Fine Attention Models for Document Summarization
... learned coarse and fine factors may in fact be too ...the coarse attention, the training algorithm cannot directly compare word attention weights as in S TANDARD ...
10