chunmeifeng

fiftyone

The open-source tool for building high-quality datasets and computer vision models

encord-active

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

T2Net

【MICCAI 2021】Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

MTrans

【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

Sentic-GCN

[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

SPT

[ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.

SPRC

【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval

InterGCN-ABSA

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

DiffTPT

【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

AAGCN-ACSA

[EMNLP 2021] Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge

MINet

【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

FedMRI

【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction

SANet

【IEEE TNNLS 2023】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

FedPR

【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction

Dual-OctConv

【AAAI 2021】Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction

Scon-ABSA

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

CAER-TABSA

[ACL 2019] Context-aware Embedding for Targeted Aspect-based Sentiment Analysis

TPDG

[WWW 2021] Target-adaptive Graph for Cross-target Stance Detection

DONet

【TNNLS 2021】DONet: Dual-Octave Network for Fast MR Image Reconstruction

FedIns

【ICCV 2023】Towards Instance-adaptive Inference for Federated Learning

VQA4CIR

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering

Dual-OctConv