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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/dwaithe/yolov2

YOLO9000: Better, Faster, Stronger

https://github.com/dwtstore/sfm1

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

https://github.com/dyabel/wsod-mmdet

Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection

https://github.com/dyadav4/Autonomous-driving-application-car-detection

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

https://github.com/dyhBUPT/StrongSORT

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

https://github.com/dylanamiller/non_max_suppression

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

https://github.com/e0015274/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/earlence-security/invis-perturbations

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect

https://github.com/earth-insights/ClassTrans

Aligning and Prompting Everything All at Once for Universal Visual Perception

https://github.com/easternRainy/MSDS-DL-Final-YOLO-Implement

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

https://github.com/easyadin/Object-Detection-YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/eavise-kul/lightnet

YOLO9000: Better, Faster, Stronger

https://github.com/eclique/keras-gradcam

Striving for Simplicity: The All Convolutional Net

https://github.com/edavalosanaya/FastPoseCNN

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

https://github.com/eddiebarry/SingleShotDetector

SSD: Single Shot MultiBox Detector

https://github.com/edgarrt/custom_darknet

YOLO9000: Better, Faster, Stronger

https://github.com/edwardclem/deepscribe

Focal Loss for Dense Object Detection

https://github.com/edwardnguyen1705/robotic-grasping-cornell

Real-world multiobject, multigrasp detection

https://github.com/edwardning/Pytorch-EfficientDet-ModelArts

EfficientDet: Scalable and Efficient Object Detection

https://github.com/edwardyang12/Sign-Language-Detection

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

https://github.com/eetkim/physatt

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

https://github.com/egeonat/MS-CornerNet

CornerNet: Detecting Objects as Paired Keypoints

https://github.com/ehijano/Faster-RCNN-Global-Wheat-Detection

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

https://github.com/eladb3/orvit

Object-Region Video Transformers

https://github.com/elonashatri/pitch_mask_rcnn

https://github.com/emanuelevivoli/CoMix

Comics Datasets Framework: Mix of Comics datasets for detection benchmarking

https://github.com/emportent/Bonobo_Chimp

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/engelnico/point-transformer

Point Transformer

https://github.com/epsilon-deltta/epsilon-deltta

CBNet: A Composite Backbone Network Architecture for Object Detection

https://github.com/er-muyue/defrcn

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

https://github.com/erasaur/adversarial-patch-object-detection

On Physical Adversarial Patches for Object Detection

https://github.com/eric-erki/android-yolo

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

https://github.com/eric-erki/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/eric-erki/darknetAB

YOLO9000: Better, Faster, Stronger

https://github.com/eric-erki/yolov3

YOLO9000: Better, Faster, Stronger

https://github.com/erikalu/class-agnostic-counting

Class-Agnostic Counting

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