https://github.com/zhijing-jin/IMaT
공식 코드IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
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/zhijing-jin/Text_Style_Transfer_Survey
공식 코드https://github.com/zhilingyan/medical-sam-bench
공식 코드SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
https://github.com/zhimin-c/bridge3d
공식 코드Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
https://github.com/zhiweihhh/cvpr2022-rvos-challenge
공식 코드1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
https://github.com/zhongaobo/asymmetry-bts
공식 코드https://github.com/zhonghuayi/focusflow_official
공식 코드FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
https://github.com/zhongxuanwang/adv_attk
공식 코드Susceptibility of Adversarial Attack on Medical Image Segmentation Models
https://github.com/zhouhaocv/RLM-Net
공식 코드https://github.com/zhousheng97/vitxt-gqa
공식 코드Scene-Text Grounding for Text-Based Video Question Answering
https://github.com/zhoustan/camsam2
공식 코드https://github.com/zhouweilian1904/HSI_Segmentation
공식 코드When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
https://github.com/zht8506/qmvos
공식 코드https://github.com/zhu-xlab/aio2
공식 코드https://github.com/zhuang-li/vae-dprior
공식 코드https://github.com/zhuduowang/Change3D
공식 코드Change3D: Revisiting Change Detection and Captioning from A Video Modeling Perspective
https://github.com/zhugekongkong/sgg-g2s
공식 코드From General to Specific: Informative Scene Graph Generation via Balance Adjustment
https://github.com/zhuhui100/fasunet
공식 코드FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
https://github.com/zhuye98/icl
공식 코드Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
https://github.com/zhuyr97/Reflection_RemoVal_CVPR2024
공식 코드https://github.com/zhuzi24/sgg-toolkit
공식 코드https://github.com/zhyever/monocular-depth-estimation-toolbox
공식 코드BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
https://github.com/zifuwan/sigma
공식 코드Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation
https://github.com/zihangm/Differentiable-LP-Layer
공식 코드Physarum Powered Differentiable Linear Programming Layers and Applications
https://github.com/zihangm/Physarum-Differentiable-LP-Layer
공식 코드Physarum Powered Differentiable Linear Programming Layers and Applications
https://github.com/zikai1/oareg
공식 코드Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
https://github.com/zinic95/HFTrans
공식 코드https://github.com/ziplab/mpvss
공식 코드https://github.com/ziqipang/addp
공식 코드https://github.com/zishuowan/voila
공식 코드VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with Language
https://github.com/zitongzhan/mmtracking/tree/zitongzhan/rovis/configs/vis/rovis
공식 코드Robust Online Video Instance Segmentation with Track Queries
https://github.com/zixiliang/s-inf
공식 코드S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
https://github.com/ziyangwang007/cv-ssl-mis
공식 코드https://github.com/ziyangwang007/mamba-unet
공식 코드Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
https://github.com/zjlab-ammi/q-net
공식 코드https://github.com/zju-jiangqi/ciada
공식 코드Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.