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Found 3 papers, 1 papers with code
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs
We validate our approach using a large scale proprietary dataset of over 100K radiographs as well as publicly available RANZCR-CLiP Kaggle Challenge dataset and show that our method consistently outperforms commonly used regression-based detection models as well as commonly used pixel-wise classification methods.
Polygonal Point Set Tracking
Since the existing datasets are not suitable to validate our method, we build a new polygonal point set tracking dataset and demonstrate the superior performance of our method over the baselines and existing contour-based VOS methods.
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
We propose a novel memory-based tracker via part-level dense memory and voting-based retrieval, called DMV.
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