Temporal feature enhancement network with external memory for live-stream video object detection
M Fujitake, A Sugimoto - Pattern Recognition, 2022 - Elsevier
This paper proposes a method exploiting temporal context with an attention mechanism for
detecting objects in real-time in a live streaming video. Video object detection is challenging …
detecting objects in real-time in a live streaming video. Video object detection is challenging …
Boxmask: Revisiting bounding box supervision for video object detection
We present a new, simple yet effective approach to uplift video object detection. We observe
that prior works operate on instance-level feature aggregation that imminently neglects the …
that prior works operate on instance-level feature aggregation that imminently neglects the …
Sequence level semantics aggregation for video object detection
Video objection detection (VID) has been a rising research direction in recent years. A
central issue of VID is the appearance degradation of video frames caused by fast motion …
central issue of VID is the appearance degradation of video frames caused by fast motion …
TCNet: A novel triple-cooperative network for video object detection
Video object detection aims at accurately localizing the objects in videos and correctly
recognizing their categories. Off-the-shelf video object detection methods have made some …
recognizing their categories. Off-the-shelf video object detection methods have made some …
Dynamic feature aggregation for efficient video object detection
Y Cui - Proceedings of the Asian Conference on Computer …, 2022 - openaccess.thecvf.com
Video object detection is a fundamental yet challenging task in computer vision. One
practical solution is to take advantage of temporal information from the video and apply …
practical solution is to take advantage of temporal information from the video and apply …
Visdrone-vid2019: The vision meets drone object detection in video challenge results
Video object detection has drawn great attention recently. The Vision Meets Drone Object
Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the …
Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the …
Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
We introduce a new large-scale data set of video URLs with densely-sampled object
bounding box annotations called YouTube-BoundingBoxes (YT-BB). The data set consists …
bounding box annotations called YouTube-BoundingBoxes (YT-BB). The data set consists …
Lightweight unmanned aerial vehicle video object detection based on spatial‐temporal correlation
Intelligent unmanned aerial vehicles (UAVs) are drawing more and more attention from
industry to academia. UAV navigation plays an important role in the cooperative scenario …
industry to academia. UAV navigation plays an important role in the cooperative scenario …
Fast deep neural networks with knowledge guided training and predicted regions of interests for real-time video object detection
It has been recognized that deeper and wider neural networks are continuously advancing
the state-of-the-art performance of various computer vision and machine learning tasks …
the state-of-the-art performance of various computer vision and machine learning tasks …
Vabus: Edge-cloud real-time video analytics via background understanding and subtraction
Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …
processed, and transmitted from the ever-growing number of surveillance cameras around …