Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Collection of papers, datasets, code and other resources for object detection and tracking using deep learning
I use DavidRM Journal for managing my research data for its excellent hierarchical organization, cross-linking and tagging capabilities.
I make available a Journal entry export file that contains tagged and categorized collection of papers, articles, tutorials, code and notes about computer vision and deep learning that I have collected over the last few years.
This is what the topic cloud looks like:
It needs Jounal 8 and can be imported using following steps:
Note that my user preferences must be imported before the research data for the tagged topics to work correctly.
(optional) My global options file is also provided for those interested in a dark theme and can be imported using File -> Import -> Import Global Options
Updated: 2023-11-22
MOTS Multi-Object Tracking and Segmentation [cvpr19] [pdf] [notes] [code] [project/data]
Towards Real-Time Multi-Object Tracking [ax1909] [pdf] [notes]
A Simple Baseline for Multi-Object Tracking [ax2004] [pdf] [notes] [code]
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection [ax1811] [pdf] [notes]
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism [ax1708/iccv17] [pdf] [arxiv] [notes]
Online multi-object tracking with dual matching attention networks [ax1902/eccv18] [pdf] [arxiv] [notes] [code]
FAMNet Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking [iccv19] [pdf] [notes]
Exploit the Connectivity: Multi-Object Tracking with TrackletNet [ax1811/mm19] [pdf] [notes]
Tracking without bells and whistles [ax1903/iccv19] [pdf] [notes] [code] [pytorch]