TransVOD: end-to-end video object detection with spatial-temporal transformers
Detection Transformer (DETR) and Deformable DETR have been proposed to eliminate the
need for many hand-designed components in object detection while demonstrating good …
need for many hand-designed components in object detection while demonstrating good …
End-to-end video object detection with spatial-temporal transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the need for many
hand-designed components in object detection while demonstrating good performance as …
hand-designed components in object detection while demonstrating good performance as …
Inspro: Propagating instance query and proposal for online video instance segmentation
Video instance segmentation (VIS) aims at segmenting and tracking objects in videos. Prior
methods typically generate frame-level or clip-level object instances first and then associate …
methods typically generate frame-level or clip-level object instances first and then associate …
Queryprop: Object query propagation for high-performance video object detection
Video object detection has been an important yet challenging topic in computer vision.
Traditional methods mainly focus on designing the image-level or box-level feature …
Traditional methods mainly focus on designing the image-level or box-level feature …
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 …
Object detection in drone video with temporal attention gated recurrent unit based on transformer
Z Zhou, X Yu, X Chen - Drones, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) based object detection plays a pivotal role in civil and
military fields. Unfortunately, the problem is more challenging than general visual object …
military fields. Unfortunately, the problem is more challenging than general visual object …
Temporal-adaptive sparse feature aggregation for video object detection
Video object detection is a challenging task due to the appearance deterioration in video
frames. To enhance feature representation of the deteriorated frames, previous methods …
frames. To enhance feature representation of the deteriorated frames, previous methods …
Query-memory re-aggregation for weakly-supervised video object segmentation
Weakly-supervised video object segmentation (WVOS) is an emerging video task that can
track and segment the target given a simple bounding box label. However, existing WVOS …
track and segment the target given a simple bounding box label. However, existing WVOS …
Bilateral temporal re-aggregation for weakly-supervised video object segmentation
Weakly-supervised video object segmentation is an emerging video task to track and
segment the target given a simple bounding box label, which requires the method to fully …
segment the target given a simple bounding box label, which requires the method to fully …
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 …