ERD

Unsupervised Intuitive Physics from Visual Observations

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Net2Vec: Quantifying and Explaining How Concepts are Encoded by Filters in Deep Neural Networks

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

PASS: An ImageNet replacement for self-supervised pretraining without humans

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

It Takes (Only) Two: Adversarial Generator-Encoder Networks

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Capturing the Geometry of Object Categories from Video Supervision

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Taking visual motion prediction to new heightfields

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Self-labelling via simultaneous clustering and representation learning

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Cross Pixel Optical-Flow Similarity for Self-supervised Learning

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Learning to Discover Novel Visual Categories via Deep Transfer Clustering

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

MapNet: An Allocentric Spatial Memory for Mapping Environments

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Unsupervised Learning of Object Landmarks through Conditional Image Generation

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Meta-learning with differentiable closed-form solvers

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Large scale evaluation of local image feature detectors on homography datasets

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Learning the Structure of Objects from Web Supervision

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

End-to-End Representation Learning for Correlation Filter Based Tracking

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

I Have Seen Enough: Transferring Parts Across Categories

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Learning Grimaces by Watching TV

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Fully-Convolutional Siamese Networks for Object Tracking

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Learning Covariant Feature Detectors

Project: IDIU

Updated at: 27-04-2024

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Project acronym IDIU

Resources

Selected filters:

Unsupervised Intuitive Physics from Visual Observations

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Net2Vec: Quantifying and Explaining How Concepts are Encoded by Filters in Deep Neural Networks

PASS: An ImageNet replacement for self-supervised pretraining without humans

It Takes (Only) Two: Adversarial Generator-Encoder Networks

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Capturing the Geometry of Object Categories from Video Supervision

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Taking visual motion prediction to new heightfields

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos

Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Self-labelling via simultaneous clustering and representation learning

Cross Pixel Optical-Flow Similarity for Self-supervised Learning

Learning to Discover Novel Visual Categories via Deep Transfer Clustering

MapNet: An Allocentric Spatial Memory for Mapping Environments

Unsupervised Learning of Object Landmarks through Conditional Image Generation

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Meta-learning with differentiable closed-form solvers

Large scale evaluation of local image feature detectors on homography datasets

HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Learning the Structure of Objects from Web Supervision

End-to-End Representation Learning for Correlation Filter Based Tracking

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching

I Have Seen Enough: Transferring Parts Across Categories

Learning Grimaces by Watching TV

Fully-Convolutional Siamese Networks for Object Tracking

Learning Covariant Feature Detectors