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Video Object Detection

Video object detection is the task of detecting objects from a video as opposed to images.

( Image credit: Learning Motion Priors for Efficient Video Object Detection )

Papers

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Showing 26–50 of 147 papers

TitleStatusHype
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
End-to-End Video Object Detection with Spatial-Temporal TransformersCode1
3D Video Object Detection with Learnable Object-Centric Global OptimizationCode1
Camera clustering for scalable stream-based active distillationCode1
Emerging Properties in Self-Supervised Vision TransformersCode1
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer AttentionCode1
Motion Vector Extrapolation for Video Object DetectionCode1
MAMBA: Multi-level Aggregation via Memory Bank for Video Object DetectionCode1
Memory Enhanced Global-Local Aggregation for Video Object DetectionCode1
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object DetectionCode1
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded SystemsCode1
FADE: A Dataset for Detecting Falling Objects around Buildings in VideoCode1
FAQ: Feature Aggregated Queries for Transformer-based Video Object DetectorsCode1
Structure-measure: A New Way to Evaluate Foreground MapsCode1
Feature Aggregated Queries for Transformer-Based Video Object DetectorsCode1
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature AggregationCode1
Fewer is More: Efficient Object Detection in Large Aerial ImagesCode1
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object DetectionCode1
Few-Shot Video Object DetectionCode1
FFAVOD: Feature Fusion Architecture for Video Object DetectionCode1
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
Dual Semantic Fusion Network for Video Object Detection—0
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection—0
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection—0
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection—0
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