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Video Object Tracking

Video Object Detection aims to detect targets in videos using both spatial and temporal information. It's usually deeply integrated with tasks such as Object Detection and Object Tracking.

Papers

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Showing 76–98 of 98 papers

TitleStatusHype
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Fast Visual Object Tracking with Rotated Bounding BoxesCode0
Learning Discriminative Model Prediction for TrackingCode0
Unsupervised learning-based long-term superpixel tracking—0
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic VideosCode0
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking—0
Fully Convolutional Siamese Networks for Change DetectionCode0
Distractor-aware Siamese Networks for Visual Object TrackingCode0
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual TrackingCode0
High-speed Tracking with Multi-kernel Correlation Filters—0
High Performance Visual Tracking With Siamese Region Proposal NetworkCode0
Learning Spatial-Temporal Regularized Correlation Filters for Visual TrackingCode0
Depth-Adaptive Computational Policies for Efficient Visual Tracking—0
Robust Estimation of Similarity Transformation for Visual Object TrackingCode0
MAVOT: Memory-Augmented Video Object Tracking—0
Context-Aware Correlation Filter Tracking—0
Learning Background-Aware Correlation Filters for Visual TrackingCode0
Learning Spatially Regularized Correlation Filters for Visual Tracking—0
Robust video object tracking via Bayesian model averaging based feature fusion—0
Staple: Complementary Learners for Real-Time TrackingCode0
Robust video object tracking using particle filter with likelihood based feature fusion and adaptive template updating—0
Automatic tracking of protein vesicles—0
In Defense of Color-Based Model-Free Tracking—0
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