Spatial-temporal feature aggregation network for video object detection
Video object detection is a challenging problem in computer vision. In this paper, we
propose a novel spatial-temporal feature aggregation network to deal with this issue …
propose a novel spatial-temporal feature aggregation network to deal with this issue …
Guided sampling based feature aggregation for video object detection
J Liang, H Chen, Y Yan, Y Lu… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Video object detection is a challenging task due to the presence of appearance deterioration
in video frames. Recently, feature aggregation based methods which aggregate context …
in video frames. Recently, feature aggregation based methods which aggregate context …
Class-aware feature aggregation network for video object detection
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 …
other frames to capture long-range contextual information is very important to deal with the …
Fianet: Video object detection via joint feature-level and instance-level aggregation
Z Wang, Y Li, S Wang - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Video object detection task is challenging due to the nonrigid and rigid appearance
deformations in videos. Most of the typical competitive methods are to enhance per-frame …
deformations in videos. Most of the typical competitive methods are to enhance per-frame …
Relation-Guided Multi-stage Feature Aggregation Network for Video Object Detection
T Yao, F Cao, F Mi, D Li - Chinese Conference on Pattern Recognition and …, 2023 - Springer
Video object detection task has received extensive research attention and various methods
have been proposed. The quality of single frame in the original video is usually deteriorated …
have been proposed. The quality of single frame in the original video is usually deteriorated …
Temporal context enhanced feature aggregation for video object detection
Video object detection is a challenging task because of the presence of appearance
deterioration in certain video frames. One typical solution is to aggregate neighboring …
deterioration in certain video frames. One typical solution is to aggregate neighboring …
DGRNet: A Dual-Level Graph Relation Network for Video Object Detection
Video object detection is a fundamental and important task in computer vision. One mainstay
solution for this task is to aggregate features from different frames to enhance the detection …
solution for this task is to aggregate features from different frames to enhance the detection …
Class-Aware Dual-Supervised Aggregation Network for Video Object Detection
Q Qi, Y Yan, H Wang - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Video object detection has attracted increasing attention in recent years. Although great
success has been achieved by off-the-shelf video object detection methods through …
success has been achieved by off-the-shelf video object detection methods through …
Context and structure mining network for video object detection
Aggregating temporal features from other frames is verified to be very effective for video
object detection to overcome the challenges in still images, such as occlusion, motion blur …
object detection to overcome the challenges in still images, such as occlusion, motion blur …
Video object detection using object's motion context and spatio-temporal feature aggregation
The deep learning technique has recently led to significant improvement in object detection
accuracy. In many applications, object detection is performed on video data consisting of a …
accuracy. In many applications, object detection is performed on video data consisting of a …