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Video Object Detection

15 papers with code · Computer Vision
Subtask of 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 )

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Latest papers with code

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

CVPR 2020 NVlabs/wetectron

Weakly supervised learning has emerged as a compelling tool for object detection by reducing the need for strong supervision during training.

VIDEO OBJECT DETECTION WEAKLY SUPERVISED OBJECT DETECTION

76
09 Apr 2020

LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention

CVPR 2020 yinjunbo/3DVID

In this paper, we propose an end-to-end online 3D video object detector that operates on point cloud sequences.

VIDEO OBJECT DETECTION

52
03 Apr 2020

Memory Enhanced Global-Local Aggregation for Video Object Detection

CVPR 2020 Scalsol/mega.pytorch

We argue that there are two important cues for humans to recognize objects in videos: the global semantic information and the local localization information.

VIDEO OBJECT DETECTION

192
26 Mar 2020

Vision Meets Drones: Past, Present and Future

16 Jan 2020VisDrone/VisDrone-Dataset

We provide a large-scale drone captured dataset, VisDrone, which includes four tracks, i. e., (1) image object detection, (2) video object detection, (3) single object tracking, and (4) multi-object tracking.

MULTI-OBJECT TRACKING VIDEO OBJECT DETECTION

157
16 Jan 2020

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

CVPR 2020 tensorflow/models

In this paper we propose a method that leverages temporal context from the unlabeled frames of a novel camera to improve performance at that camera.

VIDEO OBJECT DETECTION VIDEO UNDERSTANDING

64,884
07 Dec 2019

Relation Distillation Networks for Video Object Detection

ICCV 2019 Scalsol/mega.pytorch

In this paper, we introduce a new design to capture the interactions across the objects in spatio-temporal context.

REGION PROPOSAL VIDEO OBJECT DETECTION

192
26 Aug 2019

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell

ICCV 2019 RalphMao/VMetrics

Average precision (AP) is a widely used metric to evaluate detection accuracy of image and video object detectors.

VIDEO OBJECT DETECTION

10
18 Aug 2019

Sequence Level Semantics Aggregation for Video Object Detection

ICCV 2019 happywu/Sequence-Level-Semantics-Aggregation

In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.

VIDEO OBJECT DETECTION VIDEO RECOGNITION

49
15 Jul 2019