Papers with Code 아카이브

Object

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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes

코드

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

https://github.com/KyeongmoonKim/sb

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/LIU1514/Yolov3-

YOLO9000: Better, Faster, Stronger

https://github.com/LKLQQ/JDE

Towards Real-Time Multi-Object Tracking

https://github.com/LKLQQ/detr

End-to-End Object Detection with Transformers

https://github.com/LKLQQ/pointpillars

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/LKLQQ/tracktor

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/LONG-9621/Extract_Point_3D

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/LONG-9621/PointNet

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/LONG-9621/PointNet-

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/LONG-9621/VoteNet

Deep Hough Voting for 3D Object Detection in Point Clouds

https://github.com/Lakerszjb/CentereNet-C

Objects as Points

https://github.com/LanqingLi/Chromosome

SSD: Single Shot MultiBox Detector

https://github.com/LansburyCH/relightable-nr

Learning Implicit Surface Light Fields

https://github.com/Launch-on-Titania/DynOPETs

DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios

https://github.com/LdDl/go-darknet

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/LdDl/odam

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/LdDl/rust-road-traffic

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Lebhoryi/keras-YOLOv3-model-set

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/LebronGG/PointNet

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/LeeDongYeun/keras-m2det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

https://github.com/Leg-end/Detection

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/Leonardo-Blanger/detr_tensorflow

End-to-End Object Detection with Transformers

https://github.com/Li-ai-cell/Interpretation_DETR

End-to-End Object Detection with Transformers

https://github.com/Liang-yc/CalorieEstimation

Deep Learning-Based Food Calorie Estimation Method in Dietary Assessment

https://github.com/LiangSiyuan21/Adversarial-Attacks-for-Image-and-Video-Object-Detection/tree/master/img_attack_with_attention

Transferable Adversarial Attacks for Image and Video Object Detection

https://github.com/LiheYoung/MiningFSS

Part-aware Prototype Network for Few-shot Semantic Segmentation

https://github.com/LinRiver/YOLOv3-on-LISA-Traffic-Sign-Detection-with-darknet

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

https://github.com/LinZhuoChen/pointnet2_multi_gpu

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/Linby1103/Darknet-Python-Interface

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/LisaAnne/Hallucination

Object Hallucination in Image Captioning

https://github.com/Little-BigMan/YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/LiuNull/pix2pix_Liu

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

https://github.com/Lmath11/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/Lopezurrutia/DSB_2018

https://github.com/Lornatang/YOLOv4-PyTorch

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Louis24/Segmentation

MegDet: A Large Mini-Batch Object Detector

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