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Video Object Detection

8 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.

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Flow-Guided Feature Aggregation for Video Object Detection

ICCV 2017 msracver/Flow-Guided-Feature-Aggregation

The accuracy of detection suffers from degenerated object appearances in videos, e. g., motion blur, video defocus, rare poses, etc.

VIDEO OBJECT DETECTION VIDEO RECOGNITION

Optimizing Video Object Detection via a Scale-Time Lattice

CVPR 2018 guanfuchen/video_obj

High-performance object detection relies on expensive convolutional networks to compute features, often leading to significant challenges in applications, e. g. those that require detecting objects from video streams in real time.

VIDEO OBJECT DETECTION

Mobile Video Object Detection with Temporally-Aware Feature Maps

CVPR 2018 vikrant7/mobile-vod-bottleneck-lstm

This paper introduces an online model for object detection in videos designed to run in real-time on low-powered mobile and embedded devices.

VIDEO OBJECT DETECTION

Towards High Performance Video Object Detection for Mobiles

16 Apr 2018stanlee321/LightFlow-Keras

In this paper, we present a light weight network architecture for video object detection on mobiles.

VIDEO OBJECT DETECTION

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

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