Papers Video Object Detection
“Video Object Detection” 태그가 달린 논문 159편 · 필터 해제
Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection
Current video object detection (VOD) models often encounter issues with over-aggregation due to redundant aggregation strategies, which perform feature aggregation on every frame. This results in suboptimal performance a…
Objectobject-detectionObject DetectionVideo Object DetectionIdentity-Consistent Aggregation for Video Object Detection
In Video Object Detection (VID), a common practice is to leverage the rich temporal contexts from the video to enhance the object representations in each frame. Existing methods treat the temporal contexts obtained from …
Objectobject-detectionObject DetectionVideo Object DetectionObjects do not disappear: Video object detection by single-frame object location anticipation
Objects in videos are typically characterized by continuous smooth motion. We exploit continuous smooth motion in three ways. 1) Improved accuracy by using object motion as an additional source of supervision, which we o…
Computational EfficiencyObjectobject-detectionObject Detection+1FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
Extracting useful visual cues for the downstream tasks is especially challenging under low-light vision. Prior works create enhanced representations by either correlating visual quality with machine perception or designi…
Face Detectionobject-detectionObject DetectionSemantic Segmentation+1Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark
Recently, many breakthroughs are made in the field of Video Object Detection (VOD), but the performance is still limited due to the imaging limitations of RGB sensors in adverse illumination conditions. To alleviate this…
object-detectionObject DetectionVideo Object DetectionDeteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking
Indonesia, as a maritime country, has a significant portion of its territory covered by water. Ineffective waste management has resulted in a considerable amount of trash in Indonesian waters, leading to various issues. …
ManagementObjectobject-detectionObject Detection+1Video object detection for privacy-preserving patient monitoring in intensive care
Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are built to record monitoring data and develo…
object-detectionObject DetectionPrivacy PreservingVideo Object DetectionTransFlow: Transformer as Flow Learner
Optical flow is an indispensable building block for various important computer vision tasks, including motion estimation, object tracking, and disparity measurement. In this work, we propose TransFlow, a pure transformer…
Motion Estimationobject-detectionObject DetectionObject Tracking+33D Video Object Detection with Learnable Object-Centric Global Optimization
We explore long-term temporal visual correspondence-based optimization for 3D video object detection in this work. Visual correspondence refers to one-to-one mappings for pixels across multiple images. Correspondence-bas…
3D Scene Reconstructionglobal-optimizationObjectobject-detection+2FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors
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 neighboring frames. With Transfo…
Objectobject-detectionObject DetectionVideo Object DetectionMemory Maps for Video Object Detection and Tracking on UAVs
This paper introduces a novel approach to video object detection detection and tracking on Unmanned Aerial Vehicles (UAVs). By incorporating metadata, the proposed approach creates a memory map of object locations in act…
Anomaly DetectionMulti-Object TrackingObjectobject-detection+4Feature Aggregated Queries for Transformer-Based Video Object Detectors
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 neighboring frames. With Tra…
Objectobject-detectionObject DetectionVideo Object DetectionFewer is More: Efficient Object Detection in Large Aerial Images
Current mainstream object detection methods for large aerial images usually divide large images into patches and then exhaustively detect the objects of interest on all patches, no matter whether there exist objects or n…
4kObjectobject-detectionObject Detection+1Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Scaling object taxonomies is one of the important steps toward a robust real-world deployment of recognition systems. We have faced remarkable progress in images since the introduction of the LVIS benchmark. To continue …
Object DetectionVideo Object DetectionRoboflow 100: A Rich, Multi-Domain Object Detection Benchmark
The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these d…
2D Object DetectionImage RetrievalMedical Object DetectionMulti-Object Tracking+14Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In Cricket
There has been a significant increase in the adoption of technology in cricket recently. This trend has created the problem of duplicate work being done in similar computer vision-based research works. Our research tries…
object-detectionObject DetectionVideo Object DetectionUnifying Tracking and Image-Video Object Detection
Objection detection (OD) has been one of the most fundamental tasks in computer vision. Recent developments in deep learning have pushed the performance of image OD to new heights by learning-based, data-driven approache…
Multi-Object TrackingObjectobject-detectionObject Detection+2Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance
Due to the problem of performance constraints of unsupervised video object detection, its large-scale application is limited. In response to this pain point, we propose another excellent method to solve this problematic …
object-detectionObject DetectionOptical Flow EstimationSemantic Segmentation+4BoxMask: Revisiting Bounding Box Supervision for Video Object Detection
We present a new, simple yet effective approach to uplift video object detection. We observe that prior works operate on instance-level feature aggregation that imminently neglects the refined pixel-level representation,…
Objectobject-detectionObject DetectionVideo Object DetectionSpatio-Temporal Learnable Proposals for End-to-End Video Object Detection
This paper presents the novel idea of generating object proposals by leveraging temporal information for video object detection. The feature aggregation in modern region-based video object detectors heavily relies on lea…
Objectobject-detectionObject DetectionVideo Object Detection