https://github.com/hitachinsk/tha
공식 코드A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty
Papers with Code 아카이브
2D Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 11
- 보존된 평가 기록
- 42
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hitcslj/ssd
공식 코드Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation
https://github.com/hithqd/unim-ov3d
공식 코드https://github.com/hitottiez/sdof-tracker
공식 코드SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
https://github.com/hiyoochan/sequentialtransfer
공식 코드Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data
https://github.com/hkchengrex/CascadePSP
공식 코드https://github.com/hkchengrex/Cutie
공식 코드https://github.com/hkchengrex/MiVOS
공식 코드https://github.com/hkchengrex/STCN
공식 코드Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
https://github.com/hkchengrex/Tracking-Anything-with-DEVA
공식 코드https://github.com/hkchengrex/XMem
공식 코드XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
https://github.com/hkervadec/shape_descriptors
공식 코드https://github.com/hkust-aerial-robotics/emsgc
공식 코드Event-based Motion Segmentation with Spatio-Temporal Graph Cuts
https://github.com/hkust-longgroup/cfa
공식 코드Compositional Feature Augmentation for Unbiased Scene Graph Generation
https://github.com/hkust-vgd/riconv
공식 코드Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
https://github.com/hlei-ziyan/Picasso
공식 코드Mesh Convolution with Continuous Filters for 3D Surface Parsing
https://github.com/hluo29/rcnet
공식 코드RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement
https://github.com/hms97/evd4uav
공식 코드EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV
https://github.com/hmxiong/3ur-llm
공식 코드3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
https://github.com/holgerroth/3Dunet_abdomen_cascade
공식 코드An application of cascaded 3D fully convolutional networks for medical image segmentation
https://github.com/hongje/hmmn
공식 코드Hierarchical Memory Matching Network for Video Object Segmentation
https://github.com/hongkunsun/paratranscnn
공식 코드ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation
https://github.com/horsepurve/StyleSegor
공식 코드Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
https://github.com/hossein1387/U-Net-Fixed-Point-Quantization-for-Medical-Image-Segmentation
공식 코드U-Net Fixed-Point Quantization for Medical Image Segmentation
https://github.com/hritam-98/gfda-disentangled
공식 코드https://github.com/hritam-98/ict-medseg
공식 코드https://github.com/hrlblab/hats
공식 코드HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
https://github.com/hrlblab/molecularel
공식 코드Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
https://github.com/hrzhang1123/cvm_ws_segmentation
공식 코드https://github.com/hsiangyuzhao/adler
공식 코드AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation
https://github.com/hsiangyuzhao/rcps
공식 코드RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
https://github.com/hszhao/PSPNet
공식 코드https://github.com/huaaaliu/rgbx_semantic_segmentation
공식 코드CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
https://github.com/huangkun101230/360mtlgeometricestimation
공식 코드Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images
https://github.com/huanglizi/lvit
공식 코드LViT: Language meets Vision Transformer in Medical Image Segmentation
https://github.com/huanglizi/scribblevc
공식 코드ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.