https://github.com/urrand/perinatal-pipeline
공식 코드An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis
Papers with Code 아카이브
Segmentation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/usagisukisuki/oneshot-part-cellsegmentation
공식 코드One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
https://github.com/user0407/CLUDA
공식 코드CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
https://github.com/usp-lrm/dcme
공식 코드Distance to Center of Mass Encoding for Instance Segmentation
https://github.com/usr922/wseg
공식 코드Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
https://github.com/ustb-ai3dvip/matsam
공식 코드MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model
https://github.com/ustczhouyu/contour
공식 코드https://github.com/ustguy/flare23
공식 코드Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation
https://github.com/ut-vision/FgSty-CPL
공식 코드https://github.com/ut-vision/actionvos
공식 코드https://github.com/ut-vision/video-independent-ecs
공식 코드Learning Video-independent Eye Contact Segmentation from In-the-Wild Videos
https://github.com/uta-smile/ASSUDA
공식 코드Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
https://github.com/utiasSTARS/inertial-identification-with-part-segmentation
공식 코드https://github.com/utkuozbulak/adaptive-segmentation-mask-attack
공식 코드Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
https://github.com/utnuclearroboticspublic/assembly_glovebox_dataset
공식 코드https://github.com/uva-dsa/auto_surgical_context2gesture
공식 코드Towards Surgical Context Inference and Translation to Gestures
https://github.com/uva-dsa/runtime_robscene_seg_2context
공식 코드Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference
https://github.com/uverma/ManipalUAVid
공식 코드UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information
https://github.com/uwm-bigdata/dfutissuesegnet
공식 코드Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study
https://github.com/ux-decoder/dinov
공식 코드https://github.com/ux-decoder/find
공식 코드https://github.com/ux-decoder/semantic-sam
공식 코드Semantic-SAM: Segment and Recognize Anything at Any Granularity
https://github.com/uzh-rpg/ess
공식 코드ESS: Learning Event-based Semantic Segmentation from Still Images
https://github.com/uzshah/sam4em
공식 코드https://github.com/v7labs/xmem_icl
공식 코드Flexible visual prompts for in-context learning in computer vision
https://github.com/val-iisc/3d-psrnet
공식 코드3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image
https://github.com/valbcn/casreg
공식 코드Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration
https://github.com/valentinhofmann/superbizarre
공식 코드Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words
https://github.com/valeoai/3DGenZ
공식 코드Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
https://github.com/valeoai/ADVENT
공식 코드ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
https://github.com/valeoai/DADA
공식 코드DADA: Depth-aware Domain Adaptation in Semantic Segmentation
https://github.com/valeoai/MTAF
공식 코드Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
https://github.com/valeoai/MVRSS
공식 코드https://github.com/valeoai/Occfeat
공식 코드OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
https://github.com/valeoai/ZS3
공식 코드https://github.com/valeoai/bravo_challenge
공식 코드The BRAVO Semantic Segmentation Challenge Results in UNCV2024
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.