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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/zhreshold/mxnet-yolo

YOLO9000: Better, Faster, Stronger

https://github.com/zhuMingXu/rearHeadLightDetection

Objects as Points

https://github.com/zhubinQAQ/Ins

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/zhudelong/elevator_button_recognition

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

https://github.com/zhulf0804/pointpillars

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/zhuolingli/FewVS

ImageNet Large Scale Visual Recognition Challenge

https://github.com/zhuyi55/week9

SSD: Single Shot MultiBox Detector

https://github.com/zichengsaber/Pytorch-Inverted-Attention

Improving Object Detection with Inverted Attention

https://github.com/zigonk/TF-SASM

TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking

https://github.com/zion-king/Center-based-3D-Object-Detection-and-Tracking

Center-based 3D Object Detection and Tracking

https://github.com/ziqi-ma/find3d

Find Any Part in 3D

https://github.com/ziwei-zheng/nullu

Evaluating Object Hallucination in Large Vision-Language Models

https://github.com/zixuan-chen/M3VOS_Experiment

M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation

https://github.com/zj463261929/darknet_mAP

YOLO9000: Better, Faster, Stronger

https://github.com/zjZSTU/Fast-R-CNN

https://github.com/zjZSTU/SSD

SSD: Single Shot MultiBox Detector

https://github.com/zjZSTU/YOLO_v1

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

https://github.com/zju-3dv/multiway

Multi-Image Semantic Matching by Mining Consistent Features

https://github.com/zju-vipa/KamalEngine

Knowledge Amalgamation for Object Detection with Transformers

https://github.com/zlf1993/cy

EOLO: Embedded Object Segmentation only Look Once

https://github.com/zllrunning/SiameseX.PyTorch

Fully-Convolutional Siamese Networks for Object Tracking

https://github.com/zo7/deconvfaces

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

https://github.com/zoeShao/CSC420-Project

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

https://github.com/zoeyuchao/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/zqplgl/caffe

SSD: Single Shot MultiBox Detector

https://github.com/zubair-irshad/CenterSnap

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

https://github.com/zwl-max/underwater-detection

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

https://github.com/zxhuang1698/interpretability-by-parts

Interpretable and Accurate Fine-grained Recognition via Region Grouping

https://github.com/zxhuang97/Official-implementation-StyleMixer

Objects as Points

https://github.com/zxpzhong/3D-RecGAN-pytorch

3D Object Reconstruction from a Single Depth View with Adversarial Learning

https://github.com/zxqcreations/faster-rcnn-tf

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

https://github.com/zxwu/adv_cloak

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

https://github.com/zy0851/FB-m-RCNN

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/zyayoung/Iter-Deformable-DETR

Progressive End-to-End Object Detection in Crowded Scenes

https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch

EfficientDet: Scalable and Efficient Object Detection

https://github.com/zzangjinsun/NLSPN_ECCV20

Deformable ConvNets v2: More Deformable, Better Results

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