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 …
Mamba: Multi-level aggregation via memory bank for video object detection
State-of-the-art video object detection methods maintain a memory structure, either a sliding
window or a memory queue, to enhance the current frame using attention mechanisms …
window or a memory queue, to enhance the current frame using attention mechanisms …
Exploiting better feature aggregation for video object detection
Video object detection (VOD) has been a rising topic in recent years due to the challenges
such as occlusion, motion blur, etc. To deal with these challenges, feature aggregation from …
such as occlusion, motion blur, etc. To deal with these challenges, feature aggregation from …
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 …
Object detection in video with spatial-temporal context aggregation
Recent cutting-edge feature aggregation paradigms for video object detection rely on
inferring feature correspondence. The feature correspondence estimation problem is …
inferring feature correspondence. The feature correspondence estimation problem is …
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 …
Video object detection via object-level temporal aggregation
While single-image object detectors can be naively applied to videos in a frame-by-frame
fashion, the prediction is often temporally inconsistent. Moreover, the computation can be …
fashion, the prediction is often temporally inconsistent. Moreover, the computation can be …
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 …
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
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 …