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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 51–75 of 98 papers

TitleStatusHype
Quo Vadis, Action Recognition? A New Model and the Kinetics DatasetCode1
Referring Video Object Segmentation via Language-aligned Track SelectionCode1
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking—0
A Comparison of CNN and Classic Features for Image Retrieval—0
Argus: Efficient Activity Detection System for Extended Video Analysis—0
Automatic tracking of protein vesicles—0
Evaluating and Improving Interactions with Hazy Oracles—0
Context-Aware Correlation Filter Tracking—0
DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking—0
Deep Siamese Networks with Bayesian non-Parametrics for Video Object Tracking—0
Depth-Adaptive Computational Policies for Efficient Visual Tracking—0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box—0
Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction—0
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching—0
Gaga: Group Any Gaussians via 3D-aware Memory Bank—0
High-speed Tracking with Multi-kernel Correlation Filters—0
Improving Human Annotation in Single Object Tracking—0
In Defense of Color-Based Model-Free Tracking—0
INFERNO: Inferring Object-Centric 3D Scene Representations without Supervision—0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Know Your Surroundings: Exploiting Scene Information for Object Tracking—0
Learning Spatially Regularized Correlation Filters for Visual Tracking—0
Learning Target Candidate Association to Keep Track of What Not to Track—0
MAVOT: Memory-Augmented Video Object Tracking—0
Attention over learned object embeddings enables complex visual reasoning—0
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