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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
Traffic Video Object Detection using Motion Prior—0
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
Eventful Transformers: Leveraging Temporal Redundancy in Vision TransformersCode1
Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object DetectionCode0
Identity-Consistent Aggregation for Video Object DetectionCode0
Objects do not disappear: Video object detection by single-frame object location anticipationCode1
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light VisionCode1
Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark—0
Deteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking—0
Video object detection for privacy-preserving patient monitoring in intensive careCode0
TransFlow: Transformer as Flow Learner—0
3D Video Object Detection with Learnable Object-Centric Global OptimizationCode1
FAQ: Feature Aggregated Queries for Transformer-based Video Object DetectorsCode1
Memory Maps for Video Object Detection and Tracking on UAVs—0
Feature Aggregated Queries for Transformer-Based Video Object DetectorsCode1
Fewer is More: Efficient Object Detection in Large Aerial ImagesCode1
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection—0
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In CricketCode0
Unifying Tracking and Image-Video Object Detection—0
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection—0
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection—0
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection—0
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object DetectionCode1
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