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 …

The existing methods for video object detection mainly depend on two-stage image object
detectors. The fact that two-stage detectors are generally slow makes it difficult to apply in …

Recently, one-stage detectors have achieved competitive accuracy and faster speed
compared with traditional two-stage detectors on image data. However, in the field of video …

Transferring existing image-based detectors to the video is non-trivial since the quality of
frames is always deteriorated by part occlusion, rare pose, and motion blur. Previous …

Single-frame object detectors perform well on videos sometimes, even without temporal
context. However, challenges such as occlusion, motion blur, and rare poses of objects are …

Recent progress in video object detection (VOD) has shown that aggregating features from
other frames to capture long-range contextual information is very important to deal with the …

Single shot detectors that are potentially faster and simpler than two-stage detectors tend to
be more applicable to object detection in videos. Nevertheless, the extension of such object …

Video object detection is challenging because objects that are easily detected in one frame
may be difficult to detect in another frame within the same clip. Recently, there have been …

Extending state-of-the-art object detectors from image to video is challenging. The accuracy
of detection suffers from degenerated object appearances in videos, eg, motion blur, video …

Video objection detection is a challenging task because isolated video frames may
encounter appearance deterioration, which introduces great confusion for detection. One of …