Papers Video Object Detection
“Video Object Detection” 태그가 달린 논문 159편 · 필터 해제
FADE: A Dataset for Detecting Falling Objects around Buildings in Video
Falling objects from buildings can cause severe injuries to pedestrians due to the great impact force they exert. Although surveillance cameras are installed around some buildings, it is challenging for humans to capture…
Moving Object DetectionObjectobject-detectionObject Detection+1Practical Video Object Detection via Feature Selection and Aggregation
Compared with still image object detection, video object detection (VOD) needs to particularly concern the high across-frame variation in object appearance, and the diverse deterioration in some frames. In principle, the…
feature selectionGPUObjectobject-detection+2XS-VID: An Extremely Small Video Object Detection Dataset
Small Video Object Detection (SVOD) is a crucial subfield in modern computer vision, essential for early object discovery and detection. However, existing SVOD datasets are scarce and suffer from issues such as insuffici…
DiversityObjectobject-detectionObject Detection+3MaskVD: Region Masking for Efficient Video Object Detection
Video tasks are compute-heavy and thus pose a challenge when deploying in real-time applications, particularly for tasks that require state-of-the-art Vision Transformers (ViTs). Several research efforts have tried to ad…
Objectobject-detectionObject DetectionVideo Object DetectionSSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving
Visual-based perception is the key module for autonomous driving. Among those visual perception tasks, video object detection is a primary yet challenging one because of feature degradation caused by fast motion or multi…
Autonomous DrivingObjectobject-detectionObject Detection+1Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions
When deploying pre-trained video object detectors in real-world scenarios, the domain gap between training and testing data caused by adverse image conditions often leads to performance degradation. Addressing this issue…
Domain AdaptationObjectobject-detectionObject Detection+3Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
This paper introduces Multi-Resolution Rescored Byte-Track (MR2-ByteTrack), a novel video object detection framework for ultra-low-power embedded processors. This method reduces the average compute load of an off-the-she…
Objectobject-detectionObject DetectionVideo Object DetectionCamera clustering for scalable stream-based active distillation
We present a scalable framework designed to craft efficient lightweight models for video object detection utilizing self-training and knowledge distillation techniques. We scrutinize methodologies for the ideal selection…
ClusteringKnowledge Distillationobject-detectionObject Detection+1Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method
This study aims to establish a computer-aided diagnostic system for lung lesions using endobronchial ultrasound (EBUS) to assist physicians in identifying lesion areas. During EBUS-transbronchial needle aspiration (EBUS-…
Data AugmentationDiagnosticobject-detectionObject Detection+1Detection of Micromobility Vehicles in Urban Traffic Videos
Urban traffic environments present unique challenges for object detection, particularly with the increasing presence of micromobility vehicles like e-scooters and bikes. To address this object detection problem, this wor…
Objectobject-detectionObject DetectionVideo Object DetectionSTF: Spatio-Temporal Fusion Module for Improving Video Object Detection
Consecutive frames in a video contain redundancy, but they may also contain relevant complementary information for the detection task. The objective of our work is to leverage this complementary information to improve de…
object-detectionObject DetectionVideo Object DetectionTDViT: Temporal Dilated Video Transformer for Dense Video Tasks
Deep video models, for example, 3D CNNs or video transformers, have achieved promising performance on sparse video tasks, i.e., predicting one result per video. However, challenges arise when adapting existing deep video…
Instance Segmentationobject-detectionObject DetectionSemantic Segmentation+2Efficient One-stage Video Object Detection by Exploiting Temporal Consistency
Recently, one-stage detectors have achieved competitive accuracy and faster speed compared with traditional two-stage detectors on image data. However, in the field of video object detection (VOD), most existing VOD meth…
object-detectionObject DetectionVideo Object Detection0-1 laws for pattern occurrences in phylogenetic trees and networks
In a recent paper, the question of determining the fraction of binary trees that contain a fixed pattern known as the snowflake was posed. We show that this fraction goes to 1, providing two very different proofs: a pure…
10-shot image generation3D Anomaly Detection and Segmentation3D Face Reconstruction+15Spatio-temporal Prompting Network for Robust Video Feature Extraction
Frame quality deterioration is one of the main challenges in the field of video understanding. To compensate for the information loss caused by deteriorated frames, recent approaches exploit transformer-based integration…
Instance Segmentationobject-detectionObject DetectionObject Tracking+5MAMBA: 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. However, we argue that these memory structu…
Mambaobject-detectionObject DetectionVideo Object DetectionContext Enhanced Transformer for Single Image Object Detection
With the increasing importance of video data in real-world applications, there is a rising need for efficient object detection methods that utilize temporal information. While existing video object detection (VOD) techni…
Objectobject-detectionObject DetectionVideo Object DetectionTraffic Video Object Detection using Motion Prior
Traffic videos inherently differ from generic videos in their stationary camera setup, thus providing a strong motion prior where objects often move in a specific direction over a short time interval. Existing works pred…
Objectobject-detectionObject DetectionVideo Object DetectionDiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object Detection
Several existing still image object detectors suffer from image deterioration in videos, such as motion blur, camera defocus, and partial occlusion. We present DiffusionVID, a diffusion model-based video object detector,…
DenoisingGPUObjectobject-detection+2Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Vision Transformers achieve impressive accuracy across a range of visual recognition tasks. Unfortunately, their accuracy frequently comes with high computational costs. This is a particular issue in video recognition, w…
Action RecognitionObject DetectionVideo Object DetectionVideo Recognition