Optimizing queries over video via lightweight keypoint-based object detection
Recent advancements in convolutional neural networks based object detection have
enabled analyzing the mounting video data with high accuracy. However, inference speed is …
enabled analyzing the mounting video data with high accuracy. However, inference speed is …
Feature aggregated queries for transformer-based video object detectors
Y Cui - Proceedings of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Video object detection needs to solve feature degradation situations that rarely happen in
the image domain. One solution is to use the temporal information and fuse the features from …
the image domain. One solution is to use the temporal information and fuse the features from …
Faq: Feature aggregated queries for transformer-based video object detectors
Y Cui, L Yang - arXiv preprint arXiv:2303.08319, 2023 - arxiv.org
Video object detection needs to solve feature degradation situations that rarely happen in
the image domain. One solution is to use the temporal information and fuse the features from …
the image domain. One solution is to use the temporal information and fuse the features from …
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 …
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 …
[PDF][PDF] Ensembling Object Detectors for Effective Video Query Processing
Object detection is the foundation of video query processing systems, which have been the
subject of active research in recent years. Compared to the use of a single model, model …
subject of active research in recent years. Compared to the use of a single model, model …
Pack and detect: Fast object detection in videos using region-of-interest packing
Object detection in videos is an important task in computer vision for various applications
such as object tracking, video summarization and video search. Although great progress has …
such as object tracking, video summarization and video search. Although great progress has …
Video object detection using motion context and feature aggregation
The deep learning technique has recently led to significant improvement in object-detection
accuracy. Numerous object detection schemes have been designed to process each frame …
accuracy. Numerous object detection schemes have been designed to process each frame …
Temporal early exits for efficient video object detection
Transferring image-based object detectors to the domain of video remains challenging
under resource constraints. Previous efforts utilised optical flow to allow unchanged features …
under resource constraints. Previous efforts utilised optical flow to allow unchanged features …
Context matters: Refining object detection in video with recurrent neural networks
Given the vast amounts of video available online, and recent breakthroughs in object
detection with static images, object detection in video offers a promising new frontier …
detection with static images, object detection in video offers a promising new frontier …