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/berniwal/swin-transformer-pytorch

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/bertrandlalo/deep_dog_breeds

Deep Residual Learning for Image Recognition

https://github.com/bespontaneous/ffn

TSM: Temporal Shift Module for Efficient Video Understanding

https://github.com/bespontaneous/mca-pytorch

TSM: Temporal Shift Module for Efficient Video Understanding

https://github.com/bespontaneous/proteus-pytorch

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/bethgelab/InDomainGeneralizationBenchmark

Deep Residual Learning for Image Recognition

https://github.com/bethgelab/cifar10_challenge

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/bfortuner/pytorch_tiramisu

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/bharath3794/UNet-Image-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/bharatsingh430/soft-nms

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

https://github.com/bharatsush/object_detection

YOLO9000: Better, Faster, Stronger

https://github.com/bhfs9999/maskrcnn_isic

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

https://github.com/bhneo/DecorrelatedBN_tf

Iterative Normalization: Beyond Standardization towards Efficient Whitening

https://github.com/bhneo/decorrelated_bn

Iterative Normalization: Beyond Standardization towards Efficient Whitening

https://github.com/bhumigodiwala/Face-Mask-Detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/bhuyanamit986/FlowerClassification

Going Deeper with Convolutions

https://github.com/bhyun-kim/NWD

A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

https://github.com/bian0505/Pad_Me

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

https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/bimal1988/detector

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

https://github.com/bingcheng45/hnr-extension

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/binhdv92/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/binhdv92/darknet_kriyeng

YOLO9000: Better, Faster, Stronger

https://github.com/birosjh/pytorch_ssd

SSD: Single Shot MultiBox Detector

https://github.com/birosjh/simple_ssd

SSD: Single Shot MultiBox Detector

https://github.com/biss/unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/bkvie/Locally-Consistent-Deformable-Convolution

Deformable Convolutional Networks

https://github.com/blake58/openpose

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

https://github.com/blankWorld/GroupNorm-caffe

Group Normalization

https://github.com/blaze1522/Image-Segmentation-FloodNet

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/bleedingfight/caffe-env

SSD: Single Shot MultiBox Detector

https://github.com/blueardour/AdelaiDet

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/blzzrd/ComputerVisionFinal

Background Image Generation Using Boolean Operations

https://github.com/bmoradi93/ssd-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/bmstu-iu8-g1-2019-project/road-signs-recognition

Fast R-CNN

https://github.com/bo-10000/VoxResNet

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation

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