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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/JungminChung/Korean_Struc_Det

Objects as Points

https://github.com/JunnYu/x-transformers-paddle

End-to-End Object Detection with Transformers

https://github.com/JunshengFu/vehicle-detection

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

https://github.com/JunweiLiang/Object_Detection_Tracking

Relation Networks for Object Detection

https://github.com/JunweiLiang/aicity_action

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

https://github.com/K-Mike/Automatic-salt-deposits-segmentation

Hypercolumns for Object Segmentation and Fine-grained Localization

https://github.com/KARAASLAN-AI/re3-object-tracking

Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

https://github.com/KMnP/fashionpedia-api

https://github.com/KPeng9510/MASS

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

https://github.com/KaidongLi/tf-3d-alpha

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

https://github.com/KanchanIIT/Highly-Optimized-Interactive-Image-Segmentation

Deep Interactive Object Selection

https://github.com/KangchengLiu/FAC_Foreground_Aware_Contrast

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

https://github.com/KangchengLiu/RM3D

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

https://github.com/Kartik-Aggarwal/Real-Time-Traffic-Sign-Detection

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

https://github.com/Kashi7/Object-Recognition

Striving for Simplicity: The All Convolutional Net

https://github.com/Kazuhito00/sahi-yolox-onnx-sample

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

https://github.com/KeLi-SketchX/Universal-sketch-perceptual-grouping

Universal Perceptual Grouping

https://github.com/Kenneth-Wong/tf-faster-rcnn

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

https://github.com/KennithLi/Awesome-Zero-Shot-Object-Detection

Zero-Shot Object Detection by Hybrid Region Embedding

https://github.com/KernelA/pytorch-point-transformer

Point Transformer

https://github.com/Keshavkant/YOLO_Toll

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/KevinKecc/MAL

Multiple Anchor Learning for Visual Object Detection

https://github.com/Khalifa-2020/centernet1

Objects as Points

https://github.com/Khalifa-2020/centernet2

Objects as Points

https://github.com/KhusDM/PointNetTree

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

https://github.com/KingBoyBIT/yolov3test

YOLO9000: Better, Faster, Stronger

https://github.com/KingGugu/YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/KiranAkadas/My_Pointnet_v2

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

https://github.com/KiritoGH/frustum-pointnets

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

https://github.com/Kodiologist/Citematic

A Probabilistic Theory of Deep Learning

https://github.com/KohavTal/SCAE_Project

Stacked Capsule Autoencoders

https://github.com/KookHoiKim/GroupFree3dBaseline

Group-Free 3D Object Detection via Transformers

https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark

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

https://github.com/KostadinovShalon/oln-mask

Learning Open-World Object Proposals without Learning to Classify

https://github.com/Krupal09/MaskRCNN-Demo

https://github.com/KushaalShroff/Signature-and-Annotation-detection

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