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Found 5 papers, 1 papers with code
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
The standard few-shot pipeline follows extraction of appearance queries from exemplars and matching them with image features to infer the object counts.
Ranked #1 on
Object Counting
on FSC147
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking
Visual object tracking has focused predominantly on opaque objects, while transparent object tracking received very little attention.
D3S - A Discriminative Single Shot Segmentation Tracker
Template-based discriminative trackers are currently the dominant tracking paradigm due to their robustness, but are restricted to bounding box tracking and a limited range of transformation models, which reduces their localization accuracy.
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
Experiments with RGB and RGB-D trackers show that CDTB is more challenging than previous datasets.
Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters
Standard RGB-D trackers treat the target as an inherently 2D structure, which makes modelling appearance changes related even to simple out-of-plane rotation highly challenging.
