Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

124

보존된 평가 기록

977

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/cheems-seminar/grounded-segment-any-parts

Going Denser with Open-Vocabulary Part Segmentation

https://github.com/chen-si-jia/Trajectory-Long-tail-Distribution-for-MOT

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

https://github.com/chenbys/GuidedOffset

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/chencq1234/maskrcnn_facebook

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

https://github.com/chenfengxu714/image2point

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch

Deformable ConvNets v2: More Deformable, Better Results

https://github.com/chengguixiong1010/rnn_STAF_2dpose

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

https://github.com/chenghuaiyu/caffe

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/chengpengchen/repghost

MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/chengtan9907/simvpv2

Visual Attention Network

https://github.com/chengyangfu/pytorch-groupnormalization

Group Normalization

https://github.com/chengzhengxin/groupsoftmax-simpledet

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

https://github.com/chenjian123456/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/chenjunweii/mxnet-ssd

SSD: Single Shot MultiBox Detector

https://github.com/chenller/mmseg-extension

Vision Transformer Adapter for Dense Predictions

https://github.com/chenmengyang/rename_later

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/chenquan-cq/PFPN

Progressive Feature Polishing Network for Salient Object Detection

https://github.com/chensnathan/YOLOF

You Only Look One-level Feature

https://github.com/chenwuperth/ClaRAN

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

https://github.com/chenxd2/Detecting-Cancer-Metastases-on-Gigapixel-Pathology-Images

Detecting Cancer Metastases on Gigapixel Pathology Images

https://github.com/chenxi116/DeepLabv3.pytorch

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/chenxy99/AttFDNet

Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection

https://github.com/chenyang4/resmooth

RandAugment: Practical automated data augmentation with a reduced search space

https://github.com/chenyicai-0611/YOLOX-Flask-deployment

YOLOX: Exceeding YOLO Series in 2021

https://github.com/chenyilun95/tf-cpn

MegDet: A Large Mini-Batch Object Detector

https://github.com/chenyizi086/wu.2023.sigspatial

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/chenyouxin113/sota-status-investigation

Learning Data Augmentation Strategies for Object Detection

https://github.com/chenyuntc/simple-faster-rcnn-pytorch

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

https://github.com/cheonlian/DeepfakeBlock

Transferable Adversarial Attacks for Image and Video Object Detection

https://github.com/chetanmreddy/voxelnet_chetan

ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

https://github.com/chihyanghsu0805/object_detection_yolo

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

https://github.com/chinakook/U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/chincharles/u-emo

YOLOv3: An Incremental Improvement

https://github.com/chinhsuanwu/mobilevit-pytorch

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

https://github.com/chiragsamal/Faster-R-CNN-Object-detection

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

https://github.com/chjort/u2net

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

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