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/Charmve/Semantic-Segmentation-PyTorch/blob/master/models/u_net.py

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Chasing-After-AI/AI-papers

Few-shot Object Detection via Feature Reweighting

https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub

YOLOv3: An Incremental Improvement

https://github.com/ChengBinJin/U-Net-TensorFlow

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch

YOLOv3: An Incremental Improvement

https://github.com/ChengWeiGu/ResNeSt-Pytorch

ResNeSt: Split-Attention Networks

https://github.com/Chenglin-Yang/LESA_classification

Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms

https://github.com/Chenglin-Yang/LESA_detection

Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms

https://github.com/Chenzixi1/D4LCNpaddle

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

https://github.com/ChestnutLi/tf-faster-rcnn

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

https://github.com/ChetanTayal138/HAR-Web

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

https://github.com/ChielBruin/ros_faster_rcnn

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

https://github.com/ChintanThacker/Facial_Expression_EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Chris-On-PC/darknet

YOLOv3: An Incremental Improvement

https://github.com/Chris10M/RFB-Text-Detection

Receptive Field Block Net for Accurate and Fast Object Detection

https://github.com/ChrisMats/Res2Net

Res2Net: A New Multi-scale Backbone Architecture

https://github.com/Chrisding/cityscapes-preprocess

CASENet: Deep Category-Aware Semantic Edge Detection

https://github.com/Chrisding/sbd-preprocess

CASENet: Deep Category-Aware Semantic Edge Detection

https://github.com/Chrisding/seal

CASENet: Deep Category-Aware Semantic Edge Detection

https://github.com/ChristianMarzahl/ObjectDetection

Focal Loss for Dense Object Detection

https://github.com/ChristophReich1996/MaxViT

MaxViT: Multi-Axis Vision Transformer

https://github.com/ChristophReich1996/Swin-Transformer-V2

Swin Transformer V2: Scaling Up Capacity and Resolution

https://github.com/Chubbyman2/SSD_MobileNet_Hand_Tracker

SSD: Single Shot MultiBox Detector

https://github.com/ChujoHiroto/tensorflow-ssd

SSD: Single Shot MultiBox Detector

https://github.com/ChunML/ssd-tf2

SSD: Single Shot MultiBox Detector

https://github.com/Cjiangbpcs/cjiang.github.io

YOLOv3: An Incremental Improvement

https://github.com/Cjl-MedSeg/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Cjmmmmmm/BreastUltrasound_Detection

Objects as Points

https://github.com/CoCoPIE-Pruning/CoCoPIE-ModelZoo

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

https://github.com/CocoSungMin/Gachon_SW_Colorization_Contest

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/Code-0x00/caffe_windows

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

https://github.com/Code-Fight/darknet_study

YOLO9000: Better, Faster, Stronger

https://github.com/CodeChefVIT/VOID

Deep Residual Learning for Image Recognition

https://github.com/CodePlay2016/BiSENet-TF

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

https://github.com/CoinCheung/BiSeNet

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

https://github.com/CoinCheung/SphereReID

Random Erasing Data Augmentation

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