Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ba-san/MobilePose-Pi
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
https://github.com/backSpace001/PMR_WEB_APP1.0
https://github.com/backseason/PoolNet
A Simple Pooling-Based Design for Real-Time Salient Object Detection
https://github.com/badrbmb/cities-watch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/baichuan-inc/Baichuan-Omni-1.5
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
https://github.com/bailvwangzi/repulsion_loss_ssd
https://github.com/baizhenmao95/2019-ZTE-Algorithm-Competition
DAC: Data-free Automatic Acceleration of Convolutional Networks
https://github.com/balancap/SSD-Tensorflow
https://github.com/balast/saliency_detector
A Simple Pooling-Based Design for Real-Time Salient Object Detection
https://github.com/bamps53/convnext-tf
https://github.com/banben/maskrcnn-benchmark
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
https://github.com/baneitixiaomai/joint_sod_cod
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
https://github.com/banus/umf_unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/baodi23/hourglass-facekeypoints-detection
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/baoshengyu/deep-high-resolution-net.pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/bareblackfoot/IDNet
Learning Instance-Aware Object Detection Using Determinantal Point Processes
https://github.com/bareblackfoot/faster-rcnn.selection
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/bareblackfoot/lddp-tf-faster-rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/barmayo/spatial_attention
https://github.com/basaltzhang/maskrcnn-benchmark
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
https://github.com/basiclab/DA-OD-MEAA-PyTorch
https://github.com/baskargroup/Arboretum
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baskargroup/biotrove
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bazilas/matconvnet-deepReg
https://github.com/bborja/mods_evaluation
MODS -- A USV-oriented object detection and obstacle segmentation benchmark
https://github.com/bclwan/MRI_Brain_Segmentation
https://github.com/bcmi/TopNet-Object-Placement
https://github.com/bcmi/madisnet-inharmonious-region-localization
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/bdecost/pixelnet
PixelNet: Representation of the pixels, by the pixels, and for the pixels
https://github.com/beapc18/AffordanceNet
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
https://github.com/beassssry/U
https://github.com/becauseofAI/DetNet-Keras
https://github.com/befallenStar/molecularAtt
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/beltransen/lidar_bev
BirdNet: a 3D Object Detection Framework from LiDAR information
https://github.com/ben-davidson-6/fixup
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.