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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/runpeidong/act

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

https://github.com/ruotianluo/pytorch-faster-rcnn

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

https://github.com/ruotianluo/zsl-gcn-pth

Synthesized Classifiers for Zero-Shot Learning

https://github.com/ruyueshuo/DeepStream_YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/ruyueshuo/YOLOv4_Deployment

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/rwightman/efficientdet-pytorch

EfficientDet: Scalable and Efficient Object Detection

https://github.com/rwightman/pytorch-image-models

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

https://github.com/ryanwebster90/image-synthesis-lab2

Texture Synthesis Using Convolutional Neural Networks

https://github.com/ryanwebster90/texture-synthesis-lab

Texture Synthesis Using Convolutional Neural Networks

https://github.com/ryersonvisionlab/two-stream-dyntex-synth

Texture Synthesis Using Convolutional Neural Networks

https://github.com/rykov8/ssd_keras

SSD: Single Shot MultiBox Detector

https://github.com/rynsy/darknet

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/ryota2425/maskrcnn-benchmark

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/ryubidragonfire/mydarknet

YOLO9000: Better, Faster, Stronger

https://github.com/s1r2ikanth/Atunomous-Driving-Application--For-Car-detection

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

https://github.com/sa4s-serc/ecomls

Microsoft COCO: Common Objects in Context

https://github.com/saber2011/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/sacmehta/espnetv2-coreml

ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

https://github.com/sadicLiu/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/sadicLiu/darknet-yolov4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/saednasir/Helmet_Yolo

YOLO9000: Better, Faster, Stronger

https://github.com/saehan-choi/pixellib_auto_labelling

https://github.com/safetylab24/FusionCVCP

Center-based 3D Object Detection and Tracking

https://github.com/saghiralfasly/SynthBRSet

OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment

https://github.com/sahadevpoudel/hardnet-mseg

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

https://github.com/sahithchada/NOCS_PyTorch

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

https://github.com/saimj7/People-Counting-in-Real-Time

SSD: Single Shot MultiBox Detector

https://github.com/saimj7/Social-Distancing-Detection-in-Real-Time

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

https://github.com/sairin1202/Semantic-Aware-Attention-Based-Deep-Object-Co-segmentation

Semantic Aware Attention Based Deep Object Co-segmentation

https://github.com/salman-ghauri/keras_frcnn

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

https://github.com/salman-h-khan/PL-ZSD_Release

Polarity Loss for Zero-shot Object Detection

https://github.com/salwaalkhatib/p2p-net

Fine-Grained Object Classification via Self-Supervised Pose Alignment

https://github.com/salykovaa/inerf

INeRF: Inverting Neural Radiance Fields for Pose Estimation

https://github.com/samirgholipour/speed_estimation

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/samo1petar/SSD

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

https://github.com/samsh19/ML_project

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