Papers with Code 아카이브

Semi Supervised Learning for Image Captioning

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하위 태스크: 1
평가표: 3
보존된 평가 기록: 3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Kthyeon/ssfod

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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection

https://github.com/Levigty/CMCS

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Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition

https://github.com/LiyaoTang/ERDA

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All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation

https://github.com/Lou1sM/clustering

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Selective Pseudo-label Clustering

https://github.com/Lx-Bao/QSFNet

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Quality-aware Selective Fusion Network for V-D-T Salient Object Detection

https://github.com/OSU-MLB/SSL-Foundation-Models

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Revisiting semi-supervised learning in the era of foundation models

https://github.com/OpenSpaceAI/Nesie

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Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection

https://github.com/PaddlePaddle/PaddleDetection

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Semi-DETR: Semi-Supervised Object Detection with Detection Transformers

https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/semi_det/arsl

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Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection

https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/semi_det/semi_detr

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Semi-DETR: Semi-Supervised Object Detection with Detection Transformers

https://github.com/PaloAltoNetworks/CCP_CIFAR

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Contrastive Credibility Propagation for Reliable Semi-Supervised Learning

https://github.com/PengyiZhang/ACCL

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ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation

https://github.com/PrasannaPulakurthi/SPM

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Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation

https://github.com/Qi2019KB/UBPL-PoseEstimation

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Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression

https://github.com/QingtaoPan/DuSSS

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DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation

https://github.com/RS-CSU/MemoryAdaptNet-master

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Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory

https://github.com/RoyalSkye/ATCL

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Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks

https://github.com/RuijieZhu94/EC-Depth

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EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes

https://github.com/SHI-Labs/Semi-Supervised-Transfer-Learning

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Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

https://github.com/SY-Xuan/IICS

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Intra-Inter Camera Similarity for Unsupervised Person Re-Identification

https://github.com/ShannonAI/Neural-Semi-Supervised-Learning-for-Text-Classification

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Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining

https://github.com/SunjHan/Hybrid-Representation-Learning-Approach-for-Rare-Disease-Classification

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Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

https://github.com/THU-BPM/MetaSRE

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Semi-supervised Relation Extraction via Incremental Meta Self-Training

https://github.com/TencentYoutuResearch/OpenWorld-DeepFakeAttribution

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Contrastive Pseudo Learning for Open-World DeepFake Attribution

https://github.com/VisualAIKHU/SAMPD

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Multispectral Pedestrian Detection with Sparsely Annotated Label

https://github.com/WYu-Feng/pc-gain

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PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data

https://github.com/Westlake-AGI-Lab/Distill-Any-Depth

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Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator

https://github.com/Westlake-AI/SemiReward

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SemiReward: A General Reward Model for Semi-supervised Learning

https://github.com/Wuziyi616/EventCLIP

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EventCLIP: Adapting CLIP for Event-based Object Recognition

https://github.com/XuanhaoLiu/mixEEG

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mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup

https://github.com/Yaan-Wang/CRLN

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Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation

https://github.com/YaoYao1995/Cross-Labeling-Supervision-for-Semi-Supervised-Learning

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CLS: Cross Labeling Supervision for Semi-Supervised Learning

https://github.com/Yikai-Wang/ICI-FSL

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Instance Credibility Inference for Few-Shot Learning

https://github.com/ZJULearning/ALDA

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Adversarial-Learned Loss for Domain Adaptation

https://github.com/abanitalebi/simrod

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SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/abhayraw1/spi

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Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection

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