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 …
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 …
Centernet heatmap propagation for real-time video object detection
Z Xu, E Hrustic, D Vivet - Computer Vision–ECCV 2020: 16th European …, 2020 - Springer
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 …
detectors. The fact that two-stage detectors are generally slow makes it difficult to apply in …
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 …
Dual semantic fusion network for video object detection
Video object detection is a tough task due to the deteriorated quality of video sequences
captured under complex environments. Currently, this area is dominated by a series of …
captured under complex environments. Currently, this area is dominated by a series of …
SCNet: Scale-aware coupling-structure network for efficient video object detection
In recent years, outstanding image-based object detectors were extended for video object
detection. Such extension requires to address two challenging problems in videos, namely …
detection. Such extension requires to address two challenging problems in videos, namely …
Video object detection with an aligned spatial-temporal memory
Abstract We introduce Spatial-Temporal Memory Networks for video object detection. At its
core, a novel Spatial-Temporal Memory module (STMM) serves as the recurrent …
core, a novel Spatial-Temporal Memory module (STMM) serves as the recurrent …
Semi-supervised dff: Decoupling detection and feature flow for video object detectors
G Han, X Zhang, C Li - Proceedings of the 26th ACM international …, 2018 - dl.acm.org
For efficient video object detection, our detector consists of a spatial module and a temporal
module. The spatial module aims to detect objects in static frames using convolutional …
module. The spatial module aims to detect objects in static frames using convolutional …
Modeling long-and short-term temporal context for video object detection
Video object detection enhances the performance of the still-image based object detection
by exploiting temporal context information from neighboring frames. Most of the state-of-the …
by exploiting temporal context information from neighboring frames. Most of the state-of-the …
Ptseformer: Progressive temporal-spatial enhanced transformer towards video object detection
H Wang, J Tang, X Liu, S Guan, R Xie… - European Conference on …, 2022 - Springer
Recent years have witnessed a trend of applying context frames to boost the performance of
object detection as video object detection. Existing methods usually aggregate features at …
object detection as video object detection. Existing methods usually aggregate features at …