Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/CatOneTwo/WSDDN-PyTorch
https://github.com/CeLaMbDa/DSOD_keras
DSOD: Learning Deeply Supervised Object Detectors from Scratch
https://github.com/Cedric-Perauer/Deformable_Detr_PIL
Deformable DETR: Deformable Transformers for End-to-End Object Detection
https://github.com/CellProfiling/HPA-Special-Prize
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
https://github.com/CellSMB/EM-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Chamchis/AICCTV
https://github.com/Chang-Chia-Chi/TrackNet-Badminton-Tracking-tensorflow2
https://github.com/ChangweiZhang/Awesome-WindowsML-ONNX-Models
https://github.com/Charmve/Semantic-Segmentation-PyTorch/blob/master/models/seg_net.py
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/Charmve/Semantic-Segmentation-PyTorch/blob/master/models/u_net.py
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Chasing-After-AI/AI-papers
https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub
https://github.com/ChengBinJin/U-Net-TensorFlow
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/ChengLeiWei/garbage-detect-using-YOLOv3-pytorch
https://github.com/ChengWeiGu/ResNeSt-Pytorch
https://github.com/Chenglin-Yang/LESA_classification
Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms
https://github.com/Chenglin-Yang/LESA_detection
Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms
https://github.com/Chenzixi1/D4LCNpaddle
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
https://github.com/ChestnutLi/tf-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/ChetanTayal138/HAR-Web
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ChielBruin/ros_faster_rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/ChintanThacker/Facial_Expression_EfficientNet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/Chris-On-PC/darknet
https://github.com/Chris10M/RFB-Text-Detection
Receptive Field Block Net for Accurate and Fast Object Detection
https://github.com/ChrisMats/Res2Net
https://github.com/Chrisding/cityscapes-preprocess
https://github.com/ChristianMarzahl/ObjectDetection
https://github.com/ChristophReich1996/MaxViT
https://github.com/ChristophReich1996/Swin-Transformer-V2
https://github.com/Chubbyman2/SSD_MobileNet_Hand_Tracker
https://github.com/ChujoHiroto/tensorflow-ssd
https://github.com/ChunML/ssd-tf2
https://github.com/Cjiangbpcs/cjiang.github.io
https://github.com/Cjl-MedSeg/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Cjmmmmmm/BreastUltrasound_Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.