https://github.com/wangf3014/sclip
공식 코드SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
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SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
Progressive Dual Priori Network for Generalized Breast Tumor Segmentation
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop
Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection
GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP
Learning to Adapt Structured Output Space for Semantic Segmentation
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Bidirectional Projection Network for Cross Dimension Scene Understanding
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.