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11/03/2022
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
There is limited understanding of the information captured by deep spati...
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06/06/2022
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
Deep spatiotemporal models are used in a variety of computer vision task...
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10/20/2021
Simpler Does It: Generating Semantic Labels with Objectness Guidance
Existing weakly or semi-supervised semantic segmentation methods utilize...
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08/23/2021
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness
In this paper, we present a strategy for training convolutional neural n...
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08/17/2021
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
In this paper, we challenge the common assumption that collapsing the sp...
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04/13/2021
Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network
Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung d...
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01/28/2021
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
In contrast to fully connected networks, Convolutional Neural Networks (...
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01/27/2021
Shape or Texture: Understanding Discriminative Features in CNNs
Contrasting the previous evidence that neurons in the later layers of a ...
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09/01/2020
Bidirectional Attention Network for Monocular Depth Estimation
In this paper, we propose a Bidirectional Attention Network (BANet), an ...
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08/13/2020
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness
In this paper, we present a strategy for training convolutional neural n...
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01/22/2020
How Much Position Information Do Convolutional Neural Networks Encode?
In contrast to fully connected networks, Convolutional Neural Networks (...
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09/28/2019
Distributed Iterative Gating Networks for Semantic Segmentation
In this paper, we present a canonical structure for controlling informat...
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11/20/2018
Recurrent Iterative Gating Networks for Semantic Segmentation
In this paper, we present an approach for Recurrent Iterative Gating cal...
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10/03/2018
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Salient object detection is a problem that has been considered in detail...
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07/25/2018
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction
Much research has examined models for prediction of semantic labels or i...
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06/29/2018
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling
Effective integration of local and global contextual information is cruc...
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03/14/2018
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
Salient object detection is a problem that has been considered in detail...
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03/01/2017