[논문리뷰] Learning Image-based Tree Crown Segmentation from Enhanced Lidar-based Pseudo-labelsXiaowei Yu이 arXiv에 게시한 'Learning Image-based Tree Crown Segmentation from Enhanced Lidar-based Pseudo-labels' 논문에 대한 자세한 리뷰입니다.#Review#Instance Segmentation#Tree Crown Delineation#Remote Sensing#Lidar Data#Multispectral Imagery#Pseudo-labeling#Segment Anything Model (SAM)#Deep Learning2026년 2월 15일댓글 수 로딩 중
[논문리뷰] VideoMaMa: Mask-Guided Video Matting via Generative PriorarXiv에 게시된 'VideoMaMa: Mask-Guided Video Matting via Generative Prior' 논문에 대한 자세한 리뷰입니다.#Review#Video Matting#Diffusion Models#Generative Priors#Mask-Guided#Pseudo-labeling#Large-scale Dataset#Zero-shot Generalization2026년 1월 22일댓글 수 로딩 중
[논문리뷰] Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-TrainingDim P. Papadopoulos이 arXiv에 게시한 'Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training' 논문에 대한 자세한 리뷰입니다.#Review#Unsupervised Video Instance Segmentation#Self-Training#Quality Assessment#Pseudo-labeling#Domain Adaptation#VideoMask2Former#YouTubeVIS2025년 12월 9일댓글 수 로딩 중
[논문리뷰] Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech RecognitionShang-Tse Chen이 arXiv에 게시한 'Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition' 논문에 대한 자세한 리뷰입니다.#Review#ASR#Pseudo-labeling#Domain Adaptation#Task Arithmetic#Correction Vector#Accent Adaptation#Speaker Clustering#Model Editing2025년 10월 13일댓글 수 로딩 중
[논문리뷰] D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AIHaebin Seong이 arXiv에 게시한 'D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI' 논문에 대한 자세한 리뷰입니다.#Review#Embodied AI#Vision-Action Pretraining#Desktop Data#Inverse Dynamics Model (IDM)#Pseudo-labeling#Robotics#Generalization#Data Compression2025년 10월 13일댓글 수 로딩 중
[논문리뷰] When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMsAnand Mishra이 arXiv에 게시한 'When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs' 논문에 대한 자세한 리뷰입니다.#Review#VQA#Small VLMs#Large VLMs#Knowledge Transfer#Pseudo-labeling#Label-Free Learning#Model Parity Alignment#Computational Efficiency2025년 9월 23일댓글 수 로딩 중
[논문리뷰] SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image TranslationPaolo Soda이 arXiv에 게시한 'SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation' 논문에 대한 자세한 리뷰입니다.#Review#Semi-supervised Learning#Few-shot Learning#Medical Imaging#GAN-based Methods#Image-to-image Translation#Pseudo-labeling#Ensemble Learning2025년 8월 18일댓글 수 로딩 중