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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 1–50 of 147 papers

TitleStatusHype
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos—0
Multimodal Spatio-temporal Graph Learning for Alignment-free RGBT Video Object Detection—0
Context in object detection: a systematic literature review—0
Region Masking to Accelerate Video Processing on Neuromorphic Hardware—0
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
Estimation of Psychosocial Work Environment Exposures Through Video Object Detection. Proof of Concept Using CCTV Footage—0
Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark—0
FADE: A Dataset for Detecting Falling Objects around Buildings in VideoCode1
Practical Video Object Detection via Feature Selection and AggregationCode3
XS-VID: An Extremely Small Video Object Detection Dataset—0
MaskVD: Region Masking for Efficient Video Object Detection—0
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving—0
Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions—0
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded SystemsCode1
Camera clustering for scalable stream-based active distillationCode1
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method—0
Detection of Micromobility Vehicles in Urban Traffic VideosCode0
STF: Spatio-Temporal Fusion Module for Improving Video Object DetectionCode0
Efficient One-stage Video Object Detection by Exploiting Temporal ConsistencyCode1
TDViT: Temporal Dilated Video Transformer for Dense Video TasksCode1
0-1 laws for pattern occurrences in phylogenetic trees and networks—0
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
MAMBA: Multi-level Aggregation via Memory Bank for Video Object DetectionCode1
Context Enhanced Transformer for Single Image Object Detection—0
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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