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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/aniketmaurya/ssd-tf2-tfds

SSD: Single Shot MultiBox Detector

https://github.com/anilarmagan/HANDS19-Challenge-Toolbox

HOnnotate: A method for 3D Annotation of Hand and Object Poses

https://github.com/animikhaich/single-object-background-subtractor

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

https://github.com/anishreddy3/Autonomous-driving-application-car-detection

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

https://github.com/ankhoreva/LucidDataDreaming

Lucid Data Dreaming for Video Object Segmentation

https://github.com/ankitAMD/Darkflow-object-detection

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

https://github.com/ankitshah009/CarCrash_forecasting_and_detection

CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis

https://github.com/ankitsinghsuraj/mot20

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/annabellachen/newDarknet

YOLO9000: Better, Faster, Stronger

https://github.com/anonymous1125/patnet_dataset

Universal Physical Camouflage Attacks on Object Detectors

https://github.com/anonymousjack/hijacking

Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking

https://github.com/anookeen/yolo

YOLO9000: Better, Faster, Stronger

https://github.com/anshulpaigwar/pointwise-convolutional-neural-network

Pointwise Convolutional Neural Networks

https://github.com/anthonysimeonov/relational_ndf

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

https://github.com/antonilo/unsupervised_detection

Unsupervised Moving Object Detection via Contextual Information Separation

https://github.com/antonoeschmidt/darknet

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/anzhao0503/group-normalization.pytorch

Group Normalization

https://github.com/aoidragon/pope

Evaluating Object Hallucination in Large Vision-Language Models

https://github.com/aoru45/BasketNet

SSD: Single Shot MultiBox Detector

https://github.com/aoru45/LFFD-Pytorch

SSD: Single Shot MultiBox Detector

https://github.com/aotumanbiu/awesome-object-detection

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/apacha/OMR-Datasets

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

https://github.com/apacha/musicobjectdetector-tf

YOLO9000: Better, Faster, Stronger

https://github.com/apoorvagnihotri/big-little-net

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition

https://github.com/apple/ml-cubifyanything

Cubify Anything: Scaling Indoor 3D Object Detection

https://github.com/ara-25/MSDS19002_Project_DLSpring2020

Stacked Capsule Autoencoders

https://github.com/arbaza/3D-object-detection-KITTI

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

https://github.com/areberoto/darknet-thesis

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/arghadeep25/Face-Detection

Max-Margin Object Detection

https://github.com/ariG23498/instance-aware-colorization-TF

Instance-aware Image Colorization

https://github.com/arnab39/equiadapt

Microsoft COCO: Common Objects in Context

https://github.com/arpytanshu/ssd-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/artemmavrin/focal-loss

Focal Loss for Dense Object Detection

https://github.com/artxtech/darknet-rnn

YOLO9000: Better, Faster, Stronger

https://github.com/artynet/darknet-alexeyAB

YOLO9000: Better, Faster, Stronger

https://github.com/arvind1998/SSD-Object-Detection

SSD: Single Shot MultiBox Detector

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