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/jiajunhua/Duankaiwen-CenterNet

CenterNet: Keypoint Triplets for Object Detection

https://github.com/jiajunhua/facebookresearch-Detectron

Fast R-CNN

https://github.com/jiama843/tf-YOLO-pascalVOC

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

https://github.com/jiama843/tf-mnist

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

https://github.com/jiandai/mlTst

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/jiangbestone/DetectRCNN

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/jiangbestone/DetectRccn

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/jiangbestone/detect_rcnn

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/jiangwx/SkyNet-ZCU104

FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

https://github.com/jianing-sun/Mask-YOLO

YOLO9000: Better, Faster, Stronger

https://github.com/jianmingwuhasco/yolov3

YOLOv3: An Incremental Improvement

https://github.com/jianrenw/Self-Supervised-3D-Data-Association

Uncertainty-aware Self-supervised 3D Data Association

https://github.com/jiaowoguanren0615/MambaVision

MambaVision: A Hybrid Mamba-Transformer Vision Backbone

https://github.com/jiaruixu/st-cgan

Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal

https://github.com/jiaxu-Zhu/DETR

End-to-End Object Detection with Transformers

https://github.com/jichengYUAN/mmdetectionCust

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/jiean001/models_m/tree/main/EGnet

https://github.com/jiggles546/60499_Project

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

https://github.com/jih189/yolo3

YOLOv3: An Incremental Improvement

https://github.com/jihaoxuanye/MetaPRD

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/jihoojo03/UNet-CBAM_Keras

Squeeze-and-Excitation Networks

https://github.com/jimeiyang/objectContourDetector

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop

Going Deeper with Convolutions

https://github.com/jinbac/PlantNet

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/jinbac/Yolo_Trees

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

https://github.com/jinfagang/manadet

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/jinfagang/nb

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

https://github.com/jingcjie/FairMOT-mindspore-jupyter

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/jinlong17/CoMamba

CoMamba: Real-time Cooperative Perception Unlocked with State Space Models

https://github.com/jinsheng124/yolox

YOLOX: Exceeding YOLO Series in 2021

https://github.com/jiportilla/edge-max-object-detector

SSD: Single Shot MultiBox Detector

https://github.com/jireh-father/mmdetection_210507

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/jiwanchung/vlis

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

https://github.com/jiwei0921/CoNet

Accurate RGB-D Salient Object Detection via Collaborative Learning

https://github.com/jiwei0921/DCF

https://github.com/jiwei0921/DMRA

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