/object-detection-and-tracking

Collection of papers and other resources for object detection and tracking using deep learning

Static Detection

  • Region Proposal
    • Scalable Object Detection Using Deep Neural Networks cvpr14 (pdf, notes)
    • Selective Search for Object Recognition ijcv2013 (pdf, notes)
  • RCNN
  • YOLO
    • You Only Look Once Unified, Real-Time Object Detection ax1605 (pdf, notes)
    • YOLO9000 Better, Faster, Stronger ax16_12 (pdf, notes)
    • YOLOv3 An Incremental Improvement ax180408 (pdf, notes)
  • SSD
    • SSD Single Shot MultiBox Detector eccv16_ax16_12 (pdf, notes)
    • DSSD Deconvolutional Single Shot Detector ax1701.06659 (pdf, notes)
  • RetinaNet
    • Feature Pyramid Networks for Object Detection ax170419 (pdf, notes)
    • Focal Loss for Dense Object Detection ax180207 (pdf, notes)
  • Misc
    • OverFeat Integrated Recognition, Localization and Detection using Convolutional Networks ax1402 iclr14 (pdf, notes)
    • LSDA Large scale detection through adaptation nips14 ax14_11 (pdf, notes)

Video Detection

  • Tubelet
    • Object Detection from Video Tubelets with Convolutional Neural Networks CVPR16 (pdf, notes)
    • Object Detection in Videos with Tubelet Proposal Networks ax1704 cvpr17 (pdf, notes)
  • FGFA
    • Deep Feature Flow for Video Recognition (pdf, arxiv, code) [Microsoft Research]
    • Flow-Guided Feature Aggregation for Video Object Detection ax1708 iccv17 (pdf, notes)
    • Towards High Performance Video Object Detection ax171130 microsoft (pdf, notes)
  • RNN
    • Online Video Object Detection using Association LSTM iccv17 (pdf, notes)
    • Context Matters Refining Object Detection in Video with Recurrent Neural Networks bmvc16 (pdf, notes)

Multi Object Tracking

  • Learning to Track: Online Multi-object Tracking by Decision Making (ICCV 2015) (Stanford) (pdf, code (Matlab), project page, notes)
  • Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies (arxiv April 2017) (Stanford) (pdf, arxiv, project page, notes)
  • Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor (ICCV 2015) (NEC Labs) (pdf, author page, notes)
  • A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects (highest MT on MOT2015) (University of Freiburg, Germany) (pdf, arxiv, author page, notes)

Single Object Tracking

  • Deep Reinforcement Learning for Visual Object Tracking in Videos (arxiv April 2017) (USC-Santa Barbara, Samsung Research) (pdf, arxiv, author page, notes)
  • Visual Tracking by Reinforced Decision Making (arxiv February 2017) (Seoul National University, Chung-Ang University) (pdf, arxiv, author page, notes)
  • Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017) (Seoul National University) (pdf, supplementary, project page, notes)
  • End-to-end Active Object Tracking via Reinforcement Learning (arxiv 30 May 2017) (Peking University, Tencent AI Lab) (pdf, arxiv)

Deep Learning

  • Do Deep Nets Really Need to be Deep (NIPS 2014) (pdf, notes)
  • Synthetic Gradients
    • Decoupled Neural Interfaces using Synthetic Gradients (arxiv August 2016) (pdf, notes)
    • Understanding Synthetic Gradients and Decoupled Neural Interfaces (arxiv March 2017) (pdf, notes)

Unsupervised Learning

  • Learning Features by Watching Objects Move (CVPR 2017) (pdf, notes)

Interpolation

Datasets

Lists

Tutorials

Code