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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

Showing 125 of 147 papers

TitleStatusHype
Practical Video Object Detection via Feature Selection and AggregationCode3
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
YOLOV: Making Still Image Object Detectors Great at Video Object DetectionCode2
TransVOD: End-to-End Video Object Detection with Spatial-Temporal TransformersCode2
Detection and Tracking Meet Drones ChallengeCode2
FADE: A Dataset for Detecting Falling Objects around Buildings in VideoCode1
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded SystemsCode1
Camera clustering for scalable stream-based active distillationCode1
Efficient One-stage Video Object Detection by Exploiting Temporal ConsistencyCode1
TDViT: Temporal Dilated Video Transformer for Dense Video TasksCode1
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
MAMBA: Multi-level Aggregation via Memory Bank for Video Object DetectionCode1
DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object DetectionCode1
Eventful Transformers: Leveraging Temporal Redundancy in Vision TransformersCode1
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
3D Video Object Detection with Learnable Object-Centric Global OptimizationCode1
FAQ: Feature Aggregated Queries for Transformer-based Video Object DetectorsCode1
Feature Aggregated Queries for Transformer-Based Video Object DetectorsCode1
Fewer is More: Efficient Object Detection in Large Aerial ImagesCode1
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object DetectionCode1
Video Sparse Transformer With Attention-Guided Memory for Video Object DetectionCode1
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in VideoCode1
AI Accelerator Survey and TrendsCode1
FFAVOD: Feature Fusion Architecture for Video Object DetectionCode1
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