https://github.com/cnjianliu/diff9d
공식 코드Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain
Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation
Improving Domain Generalization by Learning without Forgetting: Application in Retail Checkout
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object Detection
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Improving Generalization in Federated Learning by Seeking Flat Minima
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Bag of Tricks for Image Classification with Convolutional Neural Networks
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Certifying Out-of-Domain Generalization for Blackbox Functions
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.