Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/497626895/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/4uiiurz1/pytorch-deform-conv-v2

Deformable ConvNets v2: More Deformable, Better Results

https://github.com/4uiiurz1/pytorch-nested-unet

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/593903762/center

Objects as Points

https://github.com/593903762/ttf

Training-Time-Friendly Network for Real-Time Object Detection

https://github.com/5m0k3/gwd-efficientdet-pytorch

Dynamic Scale Training for Object Detection

https://github.com/5m0k3/gwd-yolov5-pytorch

Dynamic Scale Training for Object Detection

https://github.com/6-dl/darknet_wpb

YOLOv3: An Incremental Improvement

https://github.com/6210612757/facerecognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/6QHTSK/paper-database

Mind the Pad -- CNNs can Develop Blind Spots

https://github.com/812618101/TAL-Demo

Gaussian Temporal Awareness Networks for Action Localization

https://github.com/965694547/hybrid-system-of-frame-wise-model-and-sedt

Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection

https://github.com/96jonesa/StyleGan2-Colab-Demo

Efficient Attention: Attention with Linear Complexities

https://github.com/97andrea97/CenterNet-PNPDet

Objects as Points

https://github.com/A-PolarBear/GoogLeNet

Going Deeper with Convolutions

https://github.com/A-Telfer/AugKey

RandAugment: Practical automated data augmentation with a reduced search space

https://github.com/A511-1103/Express_detection

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

https://github.com/ACheun9/Pytorch-implementation-of-Mobile-Former

Mobile-Former: Bridging MobileNet and Transformer

https://github.com/AD2605/Action-Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/AGroupofProbiotocs/YOLO_V2_in_Tensorflow

YOLO9000: Better, Faster, Stronger

https://github.com/AI-Huang/SENet

Squeeze-and-Excitation Networks

https://github.com/AI-liu/Complex-YOLO

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

https://github.com/AI-secure/Transferability-Reduced-Smooth-Ensemble

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/AICIP-UTK/spacenet-round3

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/AIOSYM/dl-model-gallery

Going Deeper with Convolutions

https://github.com/AKASH2907/bird-species-classification

Mask R-CNN

https://github.com/AKASH2907/bird_species_classification

Mask R-CNN

https://github.com/ANSHUMAN87/Bias-Correction

Data-Free Quantization Through Weight Equalization and Bias Correction

https://github.com/ARandomOWL/window-gaze

PuRe: Robust pupil detection for real-time pervasive eye tracking

https://github.com/AVAuco/ssd_people

SSD: Single Shot MultiBox Detector

https://github.com/Aarav-Patel/darknet

YOLOv3: An Incremental Improvement

https://github.com/Abdulrahman-Adel/Object-Detection

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

https://github.com/AbdulrahmanCE/-pneumonia-detection-

Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks

https://github.com/Abhi-899/YOLOV4-Custom-Object-Detection

YOLOv4: Optimal Speed and Accuracy of Object Detection

https://github.com/Abhijeet2396/darknet

YOLOv3: An Incremental Improvement

https://github.com/AbhinavJhanwar/face_detection

YOLOv3: An Incremental Improvement

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