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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 51–98 of 98 papers

TitleStatusHype
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual TrackingCode1
TDIOT: Target-driven Inference for Deep Video Object TrackingCode0
Hopper: Multi-hop Transformer for Spatiotemporal ReasoningCode0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box—0
Attention over learned object embeddings enables complex visual reasoningCode0
Contrastive Transformation for Self-supervised Correspondence LearningCode1
Learning to Fuse Asymmetric Feature Maps in Siamese TrackersCode1
ApproxDet: Content and Contention-Aware Approximate Object Detection for MobilesCode1
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching—0
Tracking-by-Trackers with a Distilled and Reinforced ModelCode1
Ocean: Object-aware Anchor-free TrackingCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Know Your Surroundings: Exploiting Scene Information for Object TrackingCode0
Learning Object Permanence from VideoCode1
Argus: Efficient Activity Detection System for Extended Video AnalysisCode0
Integration of Regularized l1 Tracking and Instance Segmentation for Video Object Tracking—0
Improving Human Annotation in Single Object Tracking—0
SPARK: Spatial-aware Online Incremental Attack Against Visual TrackingCode0
CATER: A diagnostic dataset for Compositional Actions and TEmporal ReasoningCode1
A Comparison of CNN and Classic Features for Image Retrieval—0
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
Deeper and Wider Siamese Networks for Real-Time Visual TrackingCode1
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic VideosCode0
TSM: Temporal Shift Module for Efficient Video UnderstandingCode1
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
Quo Vadis, Action Recognition? A New Model and the Kinetics DatasetCode1
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
High-Speed Tracking with Kernelized Correlation FiltersCode1
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