Papers with Code 아카이브

Object

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

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/insigh/Faster-RCNN-Tensorflow

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

https://github.com/insigh/Relation_Network_for_Objection

Relation Networks for Object Detection

https://github.com/intel-isl/Intseg

Deep Interactive Object Selection

https://github.com/intel-isl/redwood-3dscan

A Large Dataset of Object Scans

https://github.com/intellabs/vl-interpret

KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation

https://github.com/interactivegl/vision6d

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

https://github.com/inzouzouwetrust/IMA_RWCNN_project

Texture Synthesis Using Convolutional Neural Networks

https://github.com/irvankadhafi/Burnt-PCB-Object-Detection

EfficientDet: Scalable and Efficient Object Detection

https://github.com/is2ai/kazparc

Microsoft COCO: Common Objects in Context

https://github.com/iskandari/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/isl-org/Open3D-ML

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/isl-org/redwood-3dscan

A Large Dataset of Object Scans

https://github.com/isrugeek/robotics_recognition

Multimodal Deep Learning for Robust RGB-D Object Recognition

https://github.com/issaiass/FacialMaskDetector

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

https://github.com/istvanmegyeri/audio_tagging

Focal Loss for Dense Object Detection

https://github.com/ithuanhuan/gpu-py3-faster-rcnn

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

https://github.com/ithuanhuan/py-fatser-rcnn

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

https://github.com/itsasimiqbal/SeBRe

https://github.com/ivaROS/ros_deep_grasp

Real-world multiobject, multigrasp detection

https://github.com/ivalab/grasp_multiObject_multiGrasp

Real-world multiobject, multigrasp detection

https://github.com/ivanwhaf/yolov1-pytorch

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

https://github.com/ivanwilliammd/I3DR-Net-Transfer-Learning

Focal Loss for Dense Object Detection

https://github.com/ixiaohuihuihui/ao2-detr

AO2-DETR: Arbitrary-Oriented Object Detection Transformer

https://github.com/j96w/DenseFusion

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

https://github.com/jack16888/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/jack16888/caffessd

SSD: Single Shot MultiBox Detector

https://github.com/jahongir7174/EfficientDet-tf

EfficientDet: Scalable and Efficient Object Detection

https://github.com/jahutwb/DL_dosimetry

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/jalotra/Queue-Detection

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

https://github.com/jalotra/Queue-Detection-

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

https://github.com/jamesjingqili/Lipschitz_Continuous_Reachability_Learning

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects

https://github.com/jamesli1618/Obj-GAN

Object-driven Text-to-Image Synthesis via Adversarial Training

https://github.com/jasjeetIM/Mask-RCNN

https://github.com/jason-hu7/PyTorch-YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/jason-su/UCGNet

CornerNet-Lite: Efficient Keypoint Based Object Detection

https://github.com/jasonyzhang/relpose

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild

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