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vehicle detection

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Amirhossein-Nayebi/Nordic-Vehicle-Dataset

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Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions

https://github.com/Nicholasli1995/EgoNet

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Exploring intermediate representation for monocular vehicle pose estimation

https://github.com/SunYM2020/UA-CMDet

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Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

https://github.com/bipin-saha/bnvd

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Bangladeshi Native Vehicle Detection in Wild

https://github.com/ckyrkou/step_models

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Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns

https://github.com/ec-jrc/humaint_annotator

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Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving

https://github.com/event-ahu/vfm-det

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VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models

https://github.com/hadipardis/svc

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Learned Scalable Video Coding For Humans and Machines

https://github.com/hms97/evd4uav

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EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV

https://github.com/ihubdata-mobility/public-fgvd

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A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads

https://github.com/inverted-ai/object-detection

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Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models

https://github.com/jingxiaoliu/TelecomTM

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TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors

https://github.com/jingyuanchan/CVPR_AICity_2021_Anomaly_Detection

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Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing

https://github.com/jm-xiong/rshazediff

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RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing

https://github.com/joeduman/Thresholded_event-based-crossing-dataset

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Event-Based Crossing Dataset (EBCD)

https://github.com/kitoweeknd/RFUAV

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RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification

https://github.com/larsOhne/pvdn

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Provident Vehicle Detection at Night: The PVDN Dataset

https://github.com/lukazso/kpbms-pvdn

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Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night

https://github.com/minghanz/trafcam_3d

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Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography

https://github.com/nalemadi/VME_CDSI_dataset_benchmark

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VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond

https://github.com/polltooh/traffic_video_analysis

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Understanding Traffic Density from Large-Scale Web Camera Data

https://github.com/prismformore/multi-task-transformer

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Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation

https://github.com/quan-dao/practical-collab-perception

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Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection

https://github.com/rfonod/geo-trax

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Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

https://github.com/shank2358/mudet

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Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events

https://github.com/srijamiya/LittleYOLO-SPP

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LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm

https://github.com/tanedam/sdm-car

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SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite Videos

https://github.com/teryzh/reconstruction-ngsim-trajectory-with-dmd-and-res_unet_plus

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Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks

https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction

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Roadside Lidar Vehicle Detection and Tracking Using Range And Intensity Background Subtraction

https://github.com/therebellll/NegIoU-PosIoU-Miou

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Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle Detection

https://github.com/umautobots/driving-in-the-matrix

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Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

https://github.com/victor-nasc/Vehicle-Counting

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Combining YOLO and Visual Rhythm for Vehicle Counting

https://github.com/weiyithu/FGR

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FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection

https://github.com/yangyanggirl/bos

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Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

https://github.com/yuanyunshuang/fpv_rcnn

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Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving

https://github.com/zijianhu/traffic_density_estimation

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Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation

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