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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/Zzh-tju/DIoU

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

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

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

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

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

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

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

https://github.com/Zzh-tju/ultralytics-YOLOv3-Cluster-NMS

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

https://github.com/a-doering/tracker_w_correlation_motion_model

MOT16: A Benchmark for Multi-Object Tracking

https://github.com/a-imamshah/savi-pytorch

Object-Centric Learning with Slot Attention

https://github.com/a-imamshah/slotattention.jl

Object-Centric Learning with Slot Attention

https://github.com/a-nau/image-selection-and-cnn-training

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

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

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

https://github.com/a1302z/OktoberfestFoodDataset

Oktoberfest Food Dataset

https://github.com/a2824256/singleshotpose_imp

Real-Time Seamless Single Shot 6D Object Pose Prediction

https://github.com/aAbdz/CylShapeDecomposition

Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects

https://github.com/aAbdz/DeepACSON

Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects

https://github.com/aakashjhawar/traffic-sign-detection

YOLO9000: Better, Faster, Stronger

https://github.com/aakiraotok/yowov3

TOOD: Task-aligned One-stage Object Detection

https://github.com/aaron-wang-de/ab

YOLO9000: Better, Faster, Stronger

https://github.com/aaronfriedman6/MV3D_VoxelNet

Multi-View 3D Object Detection Network for Autonomous Driving

https://github.com/aashish2000/Parking_Management

Real-time object detection method based on improved YOLOv4-tiny

https://github.com/aasimsani/artificial_manga_panel_dataset

Object Detection for Comics using Manga109 Annotations

https://github.com/abajaj945/Ship-Detection-using-Tensorflow

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/abcxs/maskrcnn-contest

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/abdksyed/DETR

End-to-End Object Detection with Transformers

https://github.com/abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds

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

https://github.com/abhasahay/Object-Recognition-using-Deep-Learning

Striving for Simplicity: The All Convolutional Net

https://github.com/abhaskumarsinha/KMT

First Order Motion Model for Image Animation

https://github.com/abhigoku10/CenterPoint_PC

Center-based 3D Object Detection and Tracking

https://github.com/aby2s/sharpmask

Learning to Segment Object Candidates

https://github.com/ac-rodriguez/privilegedpooling

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up

https://github.com/acaelles97/devis

Make One-Shot Video Object Segmentation Efficient Again

https://github.com/achen353/Taiwanese-Traffic-Object-Detection

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/achiyaj/vqa-sandbox

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

https://github.com/ada-shen/ICNN

Interpretable Convolutional Neural Networks

https://github.com/adam123wu/edge-yolo

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/adambielski/perturbed-seg

Emergence of Object Segmentation in Perturbed Generative Models

https://github.com/addisonklinke/pytorch-architectures/blob/377548954f13d32e45e5641396e3839a9103395b/torcharch/conv.py

Feature Pyramid Networks for Object Detection

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