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Found 4 papers, 0 papers with code
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
The aim of this paper is to formalize a new continual semi-supervised learning (CSSL) paradigm, proposed to the attention of the machine learning community via the IJCAI 2021 International Workshop on Continual Semi-Supervised Learning (CSSL-IJCAI), with the aim of raising field awareness about this problem and mobilizing its effort in this direction.
Crowd Counting Using Scale-Aware Attention Networks
In this paper, we consider the problem of crowd counting in images.
An Efficient Single Chord-based Accumulation Technique (SCA) to Detect More Reliable Corners
The Chord-to-Point Distance Accumulation (CPDA) detector is recognized as the contour-based corner detector producing the lowest localization error while localizing corners in an image.
Chord Angle Deviation using Tangent (CADT), an Efficient and Robust Contour-based Corner Detector
We have mentioned a number of popular contour-based corner detectors in our paper.
