Paper Reading AI Learner

NucShare: A Shared-Decoder Framework for Lightweight Nuclei Instance Segmentation

2026-10-25 01:40:56
Wenyan Li, Xiangyang Jia, Wenlong Zhong, Xu Chen
arXiv_CV
           
Abstract

Nuclei instance segmentation underpins quantitative pathology, yet its accuracy currently comes at a large parameter cost, and both the encoder and the per-task decoders must shrink where compute or latency is constrained. We present NucShare, centred on a single U-Net-style decoder shared by the nuclear pixel, horizontal-vertical, and classification tasks, with only a lightweight head per task. Sharing matches or slightly exceeds three independent decoders using 37% of their parameters. With a UNI2-h encoder it forms the teacher NucShare-T, with 690.5M parameters; the student NucShare-S keeps the decoder and adopts an off-the-shelf ConvNeXt V2-Tiny encoder, totalling 34.7M, transferring knowledge through output-level distillation. On PanNuke, NucShare-S retains 99.1% of the teacher's mPQ at 0.519, above CFR-SAM-H's 0.511; it runs 27.5x faster per tile than the teacher and reaches a zero-shot bPQ of 0.668 on MoNuSeg, above CFR-SAM-H's 0.662. Code: this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2609.35203

PDF

https://arxiv.org/pdf/2609.35203.pdf

Tags
3D Action Action_Localization Action_Recognition Activity Adversarial Agent Attention Autonomous Bert Boundary_Detection Caption Chat Classification CNN Compressive_Sensing Contour Contrastive_Learning Deep_Learning Denoising Detection Dialog Diffusion Drone Dynamic_Memory_Network Edge_Detection Embedding Embodied Emotion Enhancement Face Face_Detection Face_Recognition Facial_Landmark Few-Shot Gait_Recognition GAN Gaze_Estimation Gesture Gradient_Descent Handwriting Human_Parsing Image_Caption Image_Classification Image_Compression Image_Enhancement Image_Generation Image_Matting Image_Retrieval Inference Inpainting Intelligent_Chip Knowledge Knowledge_Graph Language_Model LLM Matching Medical Memory_Networks Multi_Modal Multi_Task NAS NMT Object_Detection Object_Tracking OCR Ontology Optical_Character Optical_Flow Optimization Person_Re-identification Point_Cloud Portrait_Generation Pose Pose_Estimation Prediction QA Quantitative Quantitative_Finance Quantization Re-identification Recognition Recommendation Reconstruction Regularization Reinforcement_Learning Relation Relation_Extraction Represenation Represenation_Learning Restoration Review RNN Robot Salient Scene_Classification Scene_Generation Scene_Parsing Scene_Text Segmentation Self-Supervised Semantic_Instance_Segmentation Semantic_Segmentation Semi_Global Semi_Supervised Sence_graph Sentiment Sentiment_Classification Sketch SLAM Sparse Speech Speech_Recognition Style_Transfer Summarization Super_Resolution Surveillance Survey Text_Classification Text_Generation Time_Series Tracking Transfer_Learning Transformer Unsupervised Video_Caption Video_Classification Video_Indexing Video_Prediction Video_Retrieval Visual_Relation VQA Weakly_Supervised Zero-Shot