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/itijyou/ademxapp

Deep Residual Learning for Image Recognition

https://github.com/itsasimiqbal/SeBRe

Mask R-CNN

https://github.com/ivanwhaf/yolov1-pytorch

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

https://github.com/ivanwilliammd/I3DR-Net-Transfer-Learning

Focal Loss for Dense Object Detection

https://github.com/ivboh/3d_image_segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/ixiaohuihuihui/ao2-detr

AO2-DETR: Arbitrary-Oriented Object Detection Transformer

https://github.com/j3soon/arxiv-utils

Deep Residual Learning for Image Recognition

https://github.com/j96w/DenseFusion

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

https://github.com/jack16888/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/jack16888/caffessd

SSD: Single Shot MultiBox Detector

https://github.com/jacksonlli/ProjectQuarantine_HumanSegmentation

Pose2Seg: Detection Free Human Instance Segmentation

https://github.com/jacobyuan7/rlip

RLIPv2: Fast Scaling of Relational Language-Image Pre-training

https://github.com/jaehyunnn/LambdaNetworks_pytorch

LambdaNetworks: Modeling Long-Range Interactions Without Attention

https://github.com/jahongir7174/EfficientDet-tf

EfficientDet: Scalable and Efficient Object Detection

https://github.com/jahongir7174/EfficientNetV2

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

https://github.com/jahongir7174/MaskRCNN

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/jahongir7174/PolyLoss

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions

https://github.com/jahutwb/DL_dosimetry

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

https://github.com/jainabhishek/mnetv2

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/jaiwei98/mobile-vit-pytorch

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

https://github.com/jajajajaja121/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/jakc4103/DFQ

Data-Free Quantization Through Weight Equalization and Bias Correction

https://github.com/jakc4103/piecewise-quantization

Post-Training Piecewise Linear Quantization for Deep Neural Networks

https://github.com/jakeret/tf_unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jakeret/unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jaketae/mlp-mixer

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/jaleedkhan/zsrr-sgg

https://github.com/jalotra/Queue-Detection

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

https://github.com/jalotra/Queue-Detection-

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

https://github.com/james77777778/keras-image-models

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/jameswang287/Car-Detection

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/jamiljami/Unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jaminfong/fna

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search

https://github.com/jankrepl/mildlyoverfitted

Emerging Properties in Self-Supervised Vision Transformers

https://github.com/jarrodanderson/openpose-demo

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

https://github.com/jaryp/confidencebranchnetwok

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

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