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/AlphaJia/keras_unet_plus_plus

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/AlphaJia/pytorch-faster-rcnn

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

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

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

https://github.com/AlvesRobot/Deep-Learning-on-Point-Cloud-for-3D-Classification-and-Segmentation

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/AmeerHamza111/yolo-darknet

YOLOv3: An Incremental Improvement

https://github.com/AmirDavoodi/Hand-Gestures-Human-Robot-Interaction

SSD: Single Shot MultiBox Detector

https://github.com/AmirNiaraki/Visual-Exploration

Visual Exploration and Energy-aware Path Planning via Reinforcement Learning

https://github.com/AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Amisha-here/Image-Classifier

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/AmitNativ1984/yolov3

YOLOv3: An Incremental Improvement

https://github.com/AmrElsersy/PointPainting

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

https://github.com/Ander02/FaceRecognition

SSD: Single Shot MultiBox Detector

https://github.com/Anderies/stochastic-constant-pruninglayers

Deep Residual Learning for Image Recognition

https://github.com/AndreKelm/RefineContourNet

Object Contour and Edge Detection with RefineContourNet

https://github.com/AndreiMoraru123/Hydra

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/AndresPMD/Clip_CMR

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/Andrew-Qibin/DSS

Deeply supervised salient object detection with short connections

https://github.com/AndreydeAguiarSalvi/yolo_compression

YOLOv3: An Incremental Improvement

https://github.com/AndrzejMiskow/FER-with-Attention-and-Objective-Activation-Functions

Squeeze-and-Excitation Networks

https://github.com/Andy-Dang12/Activation-Functions

Mish: A Self Regularized Non-Monotonic Activation Function

https://github.com/AngusG/bn-advex-zhang-fixup

Deep Residual Learning for Image Recognition

https://github.com/Angzz/fpn-gluon-cv

Feature Pyramid Networks for Object Detection

https://github.com/Anirudh0707/Roads-and-Building-Segmentation

Fully Convolutional Networks for Semantic Segmentation

https://github.com/AnirudhAchal/Human-Parsing

Pyramid Scene Parsing Network

https://github.com/Anmol6/capshun

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/AnselmC/bamot

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

https://github.com/AntixK/PyTorch-Model-Compare

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/AnudeepKonda/MIMII_anamoly_detection

ResNeSt: Split-Attention Networks

https://github.com/Aprilkaka/nonlocal_mindspore

Non-local Neural Networks

https://github.com/ArashJavan/PointSeg

PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud

https://github.com/Arcady1/Doodle-Recognition-Web

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/ArcherFMY/AFNet

https://github.com/ArchieAlexArkhipov/Cycle-CenterNet

Parsing Table Structures in the Wild

https://github.com/ArifRaihan/Deeper-CNN-Architectures-for-Image-Classification

Going Deeper with Convolutions

https://github.com/ArivCR7/Melanoma_Classifier

Squeeze-and-Excitation Networks

https://github.com/ArkaJU/SegNet---Chromosome

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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