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/keillernogueira/exploit-cnn-rs

Going Deeper with Convolutions

https://github.com/kekeller/semantic_soy_deeplabv3plus

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/kelvin-jose/UNet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/kemaloksuz/RankSortLoss-Solov2

Rank & Sort Loss for Object Detection and Instance Segmentation

https://github.com/kemaloksuz/aLRPLoss-AblationExperiments

Localization Recall Precision (LRP): A New Performance Metric for Object Detection

https://github.com/ken724049/action-recognition

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

https://github.com/kentaroy47/efficientdet.pytorch

EfficientDet: Scalable and Efficient Object Detection

https://github.com/kentttttt/darknet

YOLOv3: An Incremental Improvement

https://github.com/keras-team/keras-applications

Deep Residual Learning for Image Recognition

https://github.com/keras-team/keras-cv

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

https://github.com/keras-team/keras-io/blob/master/examples/vision/focal_modulation_network.py

Focal Modulation Networks

https://github.com/keras-team/keras-io/blob/master/examples/vision/masked_image_modeling.py

Masked Autoencoders Are Scalable Vision Learners

https://github.com/keras-team/keras-io/blob/master/examples/vision/patch_convnet.py

Augmenting Convolutional networks with attention-based aggregation

https://github.com/keras-team/keras-io/blob/master/examples/vision/shiftvit.py

When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism

https://github.com/keras-team/keras-io/blob/master/examples/vision/swin_transformers.py

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/keras-team/keras/blob/master/keras/applications/convnext.py

A ConvNet for the 2020s

https://github.com/keshav47/Face-Recognition-And-Verification

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

https://github.com/kevinjliang/tf-Faster-RCNN

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

https://github.com/kevinmusgrave/pytorch-adapt

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

https://github.com/keyEpoch/semen_seg-kd

MegDet: A Large Mini-Batch Object Detector

https://github.com/keytoyze/visionts

Masked Autoencoders Are Scalable Vision Learners

https://github.com/kfx7577/Caffe_VehicleCounter

SSD: Single Shot MultiBox Detector

https://github.com/khaled2ahmed/k2a

YOLO9000: Better, Faster, Stronger

https://github.com/khanh-moriaty/DarknetAlexey

YOLOv3: An Incremental Improvement

https://github.com/khfs/DuplexMamba

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

https://github.com/khieu/cifar10_challenge

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/khwajawisal/Attention-augmented-Convolutional-Neural-Networks

Attention Augmented Convolutional Networks

https://github.com/kilgore92/Probabalistic-U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/kilgore92/PyTorch-UNet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/kimdesok/UNet_2D_Semantic_Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/kingcong/CDINet

Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection

https://github.com/kingcong/DAFNet

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/kingcong/HRNetW48_seg

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/kingcong/ISyNet

ISyNet: Convolutional Neural Networks design for AI accelerator

https://github.com/kingcong/PSPNet

Pyramid Scene Parsing Network

https://github.com/kingcong/convnext

A ConvNet for the 2020s

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