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/facundoq/transformational_measures_experiments

Deep Residual Learning for Image Recognition

https://github.com/falreis/hed-rcf-cuda

Holistically-Nested Edge Detection

https://github.com/fangchangma/sparse-to-dense.pytorch

Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks

https://github.com/fanneng/caffe

SSD: Single Shot MultiBox Detector

https://github.com/fanq15/FSOD-code

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

https://github.com/fanq15/Few-Shot-Object-Detection-Dataset

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

https://github.com/fantasystarwd/Openpose-Depth-CaffeTraining

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/fanyix/STMN

Video Object Detection with an Aligned Spatial-Temporal Memory

https://github.com/farazahmeds/Classification-of-brain-tumor-using-Spatiotemporal-models

ConvNet Architecture Search for Spatiotemporal Feature Learning

https://github.com/faroukmokhtar/ImageSegmentationPASCAL

Fully Convolutional Networks for Semantic Segmentation

https://github.com/fastai/fastai

Deep Residual Learning for Image Recognition

https://github.com/fastestimator/fastestimator/blob/master/apphub/instance_segmentation/solov2/solov2_tf.py

SOLOv2: Dynamic and Fast Instance Segmentation

https://github.com/fastscience-ai/medflamingo

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/fatalfeel/DeblurGAN

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

https://github.com/fcUalberta/tless_edge_based

Holistically-Nested Edge Detection

https://github.com/fchollet/deep-learning-models

Deep Residual Learning for Image Recognition

https://github.com/fcr3/OpenVINO_Tutorials

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

https://github.com/fcr3/wine_detector

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

https://github.com/fdac18/ForensicImages

Mask R-CNN

https://github.com/federicopozzi33/MobileOne-PyTorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/fehmikahraman/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/feidfoe/AdjustBnd4Imbalance

Focal Loss for Dense Object Detection

https://github.com/feiyuhuahuo/PAA_minimal

Probabilistic Anchor Assignment with IoU Prediction for Object Detection

https://github.com/feizc/Object-Detection-Pytorch

SSD: Single Shot MultiBox Detector

https://github.com/felixgwu/img_classification_pk_pytorch

Deep Residual Learning for Image Recognition

https://github.com/feng-lab/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/feng-lab/nuclei

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

https://github.com/fengjiqiang/pretrainedmodel_pytorch

Squeeze-and-Excitation Networks

https://github.com/fenglian425/Agriculture_AI

Pyramid Scene Parsing Network

https://github.com/fengredrum/cnn-xla

Deep Residual Learning for Image Recognition

https://github.com/fengyidong123/openpose-master

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

https://github.com/fepegar/unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ferna11i/detectron2_ResNeST

ResNeSt: Split-Attention Networks

https://github.com/fgabel/EfficientDet-DeepSORT-Tracker

EfficientDet: Scalable and Efficient Object Detection

https://github.com/fhshen2022/prunerepaint

Visual Saliency Transformer

https://github.com/fi94/yolov3

YOLOv3: An Incremental Improvement

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