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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/Discover304/MMDetection3D-Eloss

Exploring Data Augmentation for Multi-Modality 3D Object Detection

https://github.com/DivJAth/DeepLearning5922

https://github.com/DmitryUlyanov/texture_nets

Texture Synthesis Using Convolutional Neural Networks

https://github.com/Dodant/ANPR-with-Yolov4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Domirae/H2O-SDF

H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields

https://github.com/DonCorle0ne/damage_detection

YOLO9000: Better, Faster, Stronger

https://github.com/Donvink/Car_Detection_for_Autonomous_Driving

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

https://github.com/DrMMZ/RetinaNet

Focal Loss for Dense Object Detection

https://github.com/DuaneNielsen/keypoints

Unsupervised Learning of Object Keypoints for Perception and Control

https://github.com/DucTranVan/grasp-detection-pytorch

Real-Time Grasp Detection Using Convolutional Neural Networks

https://github.com/EMI-Group/FaPN

Feature Pyramid Networks for Object Detection

https://github.com/EMalagoli92/OD-Metrics

Microsoft COCO: Common Objects in Context

https://github.com/EMsnap/RobotSorting

YOLO9000: Better, Faster, Stronger

https://github.com/ENSTA-U2IS-AI/torch-uncertainty

Focal Loss for Dense Object Detection

https://github.com/Ededu1984/car_detection_forza_horizon

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/ElementAI/LCFCN

Where are the Blobs: Counting by Localization with Point Supervision

https://github.com/Eljefemasao/Customed-Object-Detector

SSD: Single Shot MultiBox Detector

https://github.com/Eljefemasao/MarkNet-ObjectDetector

SSD: Single Shot MultiBox Detector

https://github.com/Elstuhn/Video-object-detection-by-location-anticipation

Objects do not disappear: Video object detection by single-frame object location anticipation

https://github.com/EmGarr/kerod

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

https://github.com/EquipoVandV/mmactionVandV

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

https://github.com/Ereebay/CV-Documents

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

https://github.com/Ereebay/Deep-Learning-Documents

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

https://github.com/Ereebay/DeepLearningDocuments

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

https://github.com/ErenO/segmentation-dataset

DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects

https://github.com/EricYang3721/faces

SSD: Single Shot MultiBox Detector

https://github.com/ErickDiaz/bioinformatic_thesis_project

Applying Faster R-CNN for Object Detection on Malaria Images

https://github.com/ErikGDev/instance-segmentation

https://github.com/Everina/car-detection-yolo

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

https://github.com/FL77N/Fast-RCNN-on-PPDet

https://github.com/FL77N/RetinaNet-Based-on-PPdet

Focal Loss for Dense Object Detection

https://github.com/FLoosli/CP_GAN

Learning to Segment via Cut-and-Paste

https://github.com/FMsunyh/keras-yolo2

YOLO9000: Better, Faster, Stronger

https://github.com/FaceOnLive/Realtime-Background-Changer-SDK-Android

UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces

https://github.com/FarzamIHPC/YoloV3_mask

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/FateScript/CenterNet-better

Objects as Points

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