2D Object Detection
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Benchmarks
SARDet-100K
DroneVehicle
CeyMo
ExDark
SCoralDet Dataset
Clear Weather
Dense Fog
RADIATE
BDD100K val
CLCXray
DUO
ETDII Dataset
FishEye8K
RF100
RTTS
RadioGalaxyNET Dataset
TRR360D
UAV-PDD2023
UAVDB
Most implemented
Focal Loss for Dense Object Detection
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
FCOS: Fully Convolutional One-Stage Object Detection
YOLOX: Exceeding YOLO Series in 2021
Scaled-YOLOv4: Scaling Cross Stage Partial Network
End-to-End Object Detection with Transformers
Papers
Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning
Foundation models are increasingly integrated into embodied intelligence systems, but directly assigning them structured prediction tasks requires precise geometric and numerical estimation, where specialized models ofte…
Structured PredictionTrajectory PredictionSemantic Segmentation2D Object DetectionDecoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection
Industrial object detection systems typically rely on large annotated datasets, which are expensive to collect and challenging to maintain in industrial scenarios where the inventory of objects changes frequently. This w…
Few-Shot Object Detection2D Object DetectionPose EstimationIndoor Asset Detection in Large Scale 360° Drone-Captured Imagery via 3D Gaussian Splatting
We present an approach for object-level detection and segmentation of target indoor assets in 3D Gaussian Splatting (3DGS) scenes, reconstructed from 360° drone-captured imagery. We introduce a 3D object codebook that jo…
2D Object DetectionBoxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D
Detecting and localizing objects in space is a fundamental computer vision problem. While much progress has been made to solve 2D object detection, 3D object localization is much less explored and far from solved, especi…
Object Localization2D Object DetectionMonocular 3D Object Position Estimation with VLMs for Human-Robot Interaction
Pre-trained general-purpose Vision-Language Models (VLM) hold the potential to enhance intuitive human-machine interactions due to their rich world knowledge and 2D object detection capabilities. However, VLMs for 3D coo…
2D Object DetectionA Comparative Evaluation of Large Vision-Language Models for 2D Object Detection under SOTIF Conditions
Reliable environmental perception remains one of the main obstacles for safe operation of automated vehicles. Safety of the Intended Functionality (SOTIF) concerns safety risks from perception insufficiencies, particular…
2D Object Detection