Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/ZPDu/Boosting-Object-Detection-with-Zero-Shot-Day-Night-Domain-Adaptation

공식 코드

Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation

https://github.com/ZRandomize/MatrixVT

공식 코드

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

https://github.com/Ze-Yang/Context-Transformer

공식 코드

Context-Transformer: Tackling Object Confusion for Few-Shot Detection

https://github.com/ZeHuiGong/AFSM

공식 코드

Towards Better Object Detection in Scale Variation with Adaptive Feature Selection

https://github.com/Zengyi-Qin/MonoGRNet

공식 코드

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

https://github.com/Zengyi-Qin/Weakly-Supervised-3D-Object-Detection

공식 코드

Weakly Supervised 3D Object Detection from Point Clouds

https://github.com/ZhangAoCanada/RADDet

공식 코드

RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users

https://github.com/ZhangGongjie/Meta-DETR

공식 코드

Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation

https://github.com/ZhangLi-CS/GCP_Optimization

공식 코드

What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective

https://github.com/Zhao-Tian-yi/RSDet

공식 코드

Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection

https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

공식 코드

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/Zhengbo-Zhang/ITKD

공식 코드

Instance Temperature Knowledge Distillation

https://github.com/ZhgLiu/GDD

공식 코드

Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction

https://github.com/ZhihuaLiuEd/SoTA-Brain-Tumor-Segmentation

공식 코드

Deep Learning Based Brain Tumor Segmentation: A Survey

https://github.com/Zhourobotics/Query-3DGS-LLM

공식 코드

Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian

https://github.com/ZhuHaoranEIS/DN-TOD

공식 코드

Robust Tiny Object Detection in Aerial Images amidst Label Noise

https://github.com/Zifei-Zhao/OBBDetection

공식 코드

ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial Images

https://github.com/Ziwei89/FBOD-BSPL

공식 코드

Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence for the Flying Bird Object Detection Model Training

https://github.com/ZiweiWangTHU/BiDet

공식 코드

BiDet: An Efficient Binarized Object Detector

https://github.com/Zizzzzzzz/SMamba_AAAI2025

공식 코드

SMamba: Sparse Mamba for Event-based Object Detection

https://github.com/Zyun-Y/BiconNets

공식 코드

BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection

https://github.com/Zzh-tju/CIoU

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Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

https://github.com/Zzh-tju/DIoU

공식 코드

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

https://github.com/a-nau/CubeRefine-R-CNN

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Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics

https://github.com/a-nau/synthetic-dataset-generation

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Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics

https://github.com/a11to1n3/alerttrap-dataset

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AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform

https://github.com/aavek/aeolus-ocean

공식 코드

Aeolus Ocean -- A simulation environment for the autonomous COLREG-compliant navigation of Unmanned Surface Vehicles using Deep Reinforcement Learning and Maritime Object Detection

https://github.com/abanitalebi/Model-Composition

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Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

https://github.com/abanitalebi/RePaint

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Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples

https://github.com/abanitalebi/simrod

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SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/abdesselamferdi/g-yolov11

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Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

https://github.com/abdoelsayed2016/table-detection-structure-recognition

공식 코드

Deep learning for table detection and structure recognition: A survey

https://github.com/abdulhannankhan/f2dnet

공식 코드

F2DNet: Fast Focal Detection Network for Pedestrian Detection

https://github.com/abhi1kumar/deviant

공식 코드

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

https://github.com/abhi1kumar/groomed_nms

공식 코드

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

https://github.com/abhi1kumar/seabird

공식 코드

SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.