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  1. Temporally Consistent Depth Enabled by a Multi-Task Approach [Neural Network Checkpoint]

    Title: Temporally Consistent Depth Enabled by a Multi-Task Approach [Neural Network Checkpoint]
    Contributors: Creator: Amir Atapour-Abarghouei (Durham University, UK)
    Contact person: Amir Atapour-Abarghouei (Durham University, UK)
    Editor: Amir Atapour-Abarghouei (Durham University, UK)
    Contact person: Toby P. Breckon (Durham University, UK)
    Editor: Toby P. Breckon (Durham University, UK)
    Description:
    Keywords: Semantic segmentation, Temporal consistency, Monocular depth estimation, Scene understanding, Computer vision
    Date Uploaded:
  2. Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection - supporting materials

    Title: Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection - supporting materials
    Contributors: Creator: Breckon, Toby (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Data curator: Dunnings, Andy (Durham University, UK)
    Data curator: Deshmukh, Atharva (Durham University, UK)
    Description:
    Keywords: fire detection, deep learning, machine learning , convolution neural network, computer vision, video analysis
    Date Uploaded:
  3. Neural Network Checkpoints - for use with the code at https://github.com/atapour/styleDepth-Inference

    Title: Neural Network Checkpoints - for use with the code at https://github.com/atapour/styleDepth-Inference
    Contributors: Creator: Atapour-Abarghouei, Amir (Durham University, UK)
    Creator: Breckon, Toby P. (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded:
  4. Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset] [Download]

    Title: Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy - Evaluation [dataset]
    Contributors: Creator: Maciel-Pearson, Bruna G. (Durham University)
    Creator: Breckon, Toby P. (Durham University)
    Description:
    Keywords: Deep learning, Trail detection, Autonomous Unmanned Aerial Vehicle, Unstructured environment, Drone, Convolutional Neural Network, UAV
    Date Uploaded: 4 May 2018
  5. Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow - Evaluation Dataset [Download]

    Title: Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow - Evaluation Dataset
    Contributors: Creator: Hamilton, O.K. (Durham University, UK)
    Creator: Breckon, Toby P. (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Description:
    Keywords: computer vision, image processing, 3D, object removal, scene mapping, automotive vision, stereo vision
    Date Uploaded: 11 May 2016
  6. Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation - Evaluation Dataset [Download]

    Title: Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation - Evaluation Dataset
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Contact person: Breckon, Toby P. (Durham University, UK)
    Creator: Webster, Dereck D. (Cranfield University, UK)
    Description:
    Keywords: aindrop detection, rain detection, rain removal, rain noise removal, rain interference, scene context, raindrop saliency, rain classification, image processing, computer vision
    Date Uploaded: 21 January 2016
  7. Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set [Download]

    Title: Fire Superpixel Image Data Set for Samarth 2019 study - PNG still image set
    Contributors: Creator: Samarth, Ganesh (Institute of Technology Dharwad, India)
    Contact person: Breckon, Toby (Durham University, UK)
    Editor: Bhowmik, Neelanjan (Durham University, UK)
    Description:
    Keywords: Convolutional Neural Network, fire detection
    Date Uploaded: 13 December 2019
  8. Pretrained Neural Network Models for Samarth 2019 study - TensorFlow format [Download]

    Title: Pretrained Neural Network Models for Samarth 2019 study - TensorFlow format
    Contributors: Contact person: Breckon, Toby (Durham University, UK)
    Creator: Samarth, Ganesh (Institute of Technology Dharwad, India)
    Editor: Bhowmik, Neelanjan (Durham University, UK)
    Description:
    Keywords: Convolutional Neural Network, fire detection
    Date Uploaded: 11 December 2019
  9. Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection - supporting materials

    Title: Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection - supporting materials
    Contributors: Contact person: Breckon, Toby (Durham University, UK)
    Creator: Samarth, Ganesh (Indian Institute of Technology Dharwad, India)
    Editor: Bhowmik, Neelanjan (Durham University, UK)
    Description:
    Keywords: deep learning, video analysis, machine learning, convolutional neural network, computer vision, fire detection
    Date Uploaded:
  10. Self-Supervised Image Classification [dataset] [Download]

    Title: Self-Supervised Image Classification [dataset]
    Contributors: Creator: Carbonneau, Patrice (Durham University, UK)
    Data collector: Dugdale, Steve (Nottingham University, UK)
    Data collector: Miyamoto, Hitoshi (Shibaura Institute of Tech., Japan)
    Data collector: Woodget, Amy (Loughborough University, UK)
    Data collector: Fonstad, Mark (University of Oregon)
    Data collector: Dietrich, James (University of Northern Iowa)
    Data collector: Breckon, Toby (Durham University)
    Description:
    Keywords: Deep Learning, Land-cover classification, Machine Learning, Hyperspatial Imagery, UAV imagery, Airborne imagery, Fluvial Remote Sensing
    Date Uploaded: 5 June 2019