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Found 5 papers, 3 papers with code
Transforming Model Prediction for Tracking
Optimization based tracking methods have been widely successful by integrating a target model prediction module, providing effective global reasoning by minimizing an objective function.
Ranked #5 on
Visual Object Tracking
on AVisT
Robust Visual Tracking by Segmentation
We infer a bounding box from the segmentation mask, validate our tracker on challenging tracking datasets and achieve the new state of the art on LaSOT with a success AUC score of 69. 7%.
Local Memory Attention for Fast Video Semantic Segmentation
Our approach aggregates a rich representation of the semantic information in past frames into a memory module.
Efficient Video Semantic Segmentation with Labels Propagation and Refinement
(ii) On the GPU, two Convolutional Neural Networks: A main segmentation network that is used to predict dense semantic labels from scratch, and a Refiner that is designed to improve predictions from previous frames with the help of a fast Inconsistencies Attention Module (IAM).
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
We test our method on CIFAR10 and SVHN.
