Video Object Detection

42 papers with code • 4 benchmarks • 6 datasets

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 )

Libraries

Use these libraries to find Video Object Detection models and implementations

Most implemented papers

Emerging Properties in Self-Supervised Vision Transformers

facebookresearch/dino ICCV 2021

In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets).

TSM: Temporal Shift Module for Efficient Video Understanding

MIT-HAN-LAB/temporal-shift-module ICCV 2019

The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost.

Mobile Video Object Detection with Temporally-Aware Feature Maps

tensorflow/models CVPR 2018

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

Towards High Performance Video Object Detection for Mobiles

stanlee321/LightFlow-TensorFlow 16 Apr 2018

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

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

tensorflow/models CVPR 2020

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.

HoughNet: Integrating near and long-range evidence for visual detection

nerminsamet/houghnet 14 Apr 2021

This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method.

Flow-Guided Feature Aggregation for Video Object Detection

msracver/Flow-Guided-Feature-Aggregation ICCV 2017

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

Transferable Adversarial Attacks for Image and Video Object Detection

LiangSiyuan21/Adversarial-Attacks-for-Image-and-Video-Object-Detection 30 Nov 2018

Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection.

Sequence Level Semantics Aggregation for Video Object Detection

open-mmlab/mmtracking ICCV 2019

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.