Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/johnwlambert/argoverse_cbgs_kf_tracker

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

https://github.com/johschmidt42/pytorch-2d-3d-unet-tutorial

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/joigalcar3/LambdaNetworks

LambdaNetworks: Modeling Long-Range Interactions Without Attention

https://github.com/joker311200/yolov4-csp

Scaled-YOLOv4: Scaling Cross Stage Partial Network

https://github.com/jokeryan/post_training

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/jolibrain/caffe

Soft-NMS -- Improving Object Detection With One Line of Code

https://github.com/jonahanton/ssl_audio

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

https://github.com/jonny4929/PaddleSeg_espnetv2

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

https://github.com/jonnys1226/ego4d_asl

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

https://github.com/jonryf/deep-learning-image-colorization-using-gan

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jonvthvn90/Project

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

https://github.com/jooyounghun/AI-Team-5

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

https://github.com/jooyounghun/Separable-CNN

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

https://github.com/jordiae/DeepLearning-MAI

Non-local Neural Networks

https://github.com/josephkj/eli

Incremental Object Detection via Meta-Learning

https://github.com/jovenwayfarer/pneumonia

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jpmerc/DTOID

Deep Template-based Object Instance Detection

https://github.com/jponttuset/mcg

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

https://github.com/jpviguerasguillen/feedback-non-local-attention-fnla

Non-local Neural Networks

https://github.com/jpviguerasguillen/feedback-non-local-attention_fNLA

Non-local Neural Networks

https://github.com/jqueguiner/camembert-as-a-service

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jqueguiner/image-segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jreisam/Unity-OpenPose-Edutable

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/jremillard/images-to-osm

Mask R-CNN

https://github.com/js-aguiar/wheat-object-detection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/jshaffer94247/Counting-Fish

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

https://github.com/jshermeyer/RFSR

xView: Objects in Context in Overhead Imagery

https://github.com/jshermeyer/VDSR4Geo

The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery

https://github.com/jshtok/RepMet

RepMet: Representative-based metric learning for classification and one-shot object detection

https://github.com/jsiloto/adaptive-cod

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

https://github.com/jskim808/js_pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

https://github.com/jskinn/rvchallenge-evaluation

Probabilistic Object Detection: Definition and Evaluation

https://github.com/jsong0327/HumanDetectionServer

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/jtcass01/SIMON

Deep Residual Learning for Image Recognition

https://github.com/jtiger958/pytorch-computer-vision-basic

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/jtiger958/pytorch-computer-vision-tutorial

Rich feature hierarchies for accurate object detection and semantic segmentation

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