Browse > Computer Vision > Object Detection > Video Object Detection

Video Object Detection

6 papers with code ยท 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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Latest papers without code

Temporal Coherence for Active Learning in Videos

30 Aug 2019

Our active learning criterion is based on the estimated number of errors in terms of false positives and false negatives.

ACTIVE LEARNING AUTONOMOUS DRIVING VIDEO OBJECT DETECTION

Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending

29 Aug 2019

We propose the first multi-frame video object detection framework trained to detect great apes.

VIDEO OBJECT DETECTION

Relation Distillation Networks for Video Object Detection

26 Aug 2019

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

VIDEO OBJECT DETECTION

Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms

26 Jul 2019

How can we effectively engineer a computer vision system that is able to interpret videos from unconstrained mobility platforms like UAVs?

IMAGE RESTORATION OBJECT CLASSIFICATION VIDEO OBJECT DETECTION

Sequence Level Semantics Aggregation for Video Object Detection

15 Jul 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.

OPTICAL FLOW ESTIMATION VIDEO OBJECT DETECTION

Object Detection in Video with Spatial-temporal Context Aggregation

11 Jul 2019

Without any bells and whistles, our method obtains 80. 3\% mAP on the ImageNet VID dataset, which is superior over the previous state-of-the-arts.

VIDEO OBJECT DETECTION

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

ACL 2019

In this paper, we address a novel task, namely weakly-supervised spatio-temporally grounding natural sentence in video.

VIDEO OBJECT DETECTION

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

ACL 2019

In this paper, we address a novel task, namely weakly-supervised spatio-temporally grounding natural sentence in video.

VIDEO OBJECT DETECTION

A systematic framework for natural perturbations from videos

5 Jun 2019

We introduce a systematic framework for quantifying the robustness of classifiers to naturally occurring perturbations of images found in videos.

VIDEO OBJECT DETECTION