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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
Improving Human Annotation in Single Object Tracking—0
Automatic tracking of protein vesicles—0
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking—0
High-speed Tracking with Multi-kernel Correlation Filters—0
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking—0
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching—0
Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction—0
TFCNet: Temporal Fully Connected Networks for Static Unbiased Temporal Reasoning—0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box—0
Depth-Adaptive Computational Policies for Efficient Visual Tracking—0
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Context-Aware Correlation Filter Tracking—0
A Comparison of CNN and Classic Features for Image Retrieval—0
Evaluating and Improving Interactions with Hazy Oracles—0
Unsupervised learning-based long-term superpixel tracking—0
MAVOT: Memory-Augmented Video Object Tracking—0
Learning Spatially Regularized Correlation Filters for Visual Tracking—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
INFERNO: Inferring Object-Centric 3D Scene Representations without Supervision—0
Video object tracking based on YOLOv7 and DeepSORT—0
Robust video object tracking using particle filter with likelihood based feature fusion and adaptive template updating—0
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