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Found 4 papers, 1 papers with code
Combined Image- and World-Space Tracking in Traffic Scenes
Most of the current vision-based tracking methods perform tracking in the image domain.
Ranked #22 on
Multiple Object Tracking
on KITTI Tracking test
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Therefore, additional processing steps have to be performed in order to obtain pixel-accurate segmentation masks at the full image resolution.
Ranked #25 on
Real-Time Semantic Segmentation
on Cityscapes test
Incremental Object Discovery in Time-Varying Image Collections
Abstract In this paper, we address the problem of object discovery in time-varying, large-scale image collections.
Seeking the Strongest Rigid Detector
The current state of the art solutions for object detection describe each class by a set of models trained on discovered sub-classes (so called "components"), with each model itself composed of collections of interrelated parts (deformable models).
