Seeing Cells Clearly: Evaluating Machine Vision Strategies for Microglia Centroid Detection in 3D Images
Fuente:
arXiv
Guardado en:
| Autor principal: | Zhang, Youjia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness
por: Hu, Xin, et al.
Publicado: (2026)
por: Hu, Xin, et al.
Publicado: (2026)
See Further When Clear: Curriculum Consistency Model
por: Liu, Yunpeng, et al.
Publicado: (2024)
por: Liu, Yunpeng, et al.
Publicado: (2024)
Centroid-centered Modeling for Efficient Vision Transformer Pre-training
por: Yan, Xin, et al.
Publicado: (2023)
por: Yan, Xin, et al.
Publicado: (2023)
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
por: Liu, Yexin, et al.
Publicado: (2024)
por: Liu, Yexin, et al.
Publicado: (2024)
Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesis
por: Chen, Hongyuan, et al.
Publicado: (2026)
por: Chen, Hongyuan, et al.
Publicado: (2026)
Seeing Clearly without Training: Mitigating Hallucinations in Multimodal LLMs for Remote Sensing
por: Liu, Yi, et al.
Publicado: (2026)
por: Liu, Yi, et al.
Publicado: (2026)
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
por: Pokhrel, Sandesh, et al.
Publicado: (2024)
por: Pokhrel, Sandesh, et al.
Publicado: (2024)
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
por: Tang, Qi, et al.
Publicado: (2024)
por: Tang, Qi, et al.
Publicado: (2024)
SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification
por: Wang, Xiaoying, et al.
Publicado: (2026)
por: Wang, Xiaoying, et al.
Publicado: (2026)
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection
por: Fu, Youjia, et al.
Publicado: (2024)
por: Fu, Youjia, et al.
Publicado: (2024)
Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation
por: Chang, Chun-Peng, et al.
Publicado: (2025)
por: Chang, Chun-Peng, et al.
Publicado: (2025)
Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and Masking
por: Ye, Yuteng, et al.
Publicado: (2025)
por: Ye, Yuteng, et al.
Publicado: (2025)
VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field
por: Thomas, Diego, et al.
Publicado: (2024)
por: Thomas, Diego, et al.
Publicado: (2024)
TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing
por: Xu, Teng, et al.
Publicado: (2024)
por: Xu, Teng, et al.
Publicado: (2024)
Seeing Justice Clearly: Handwritten Legal Document Translation with OCR and Vision-Language Models
por: Nigam, Shubham Kumar, et al.
Publicado: (2025)
por: Nigam, Shubham Kumar, et al.
Publicado: (2025)
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs
por: Zhang, Xiaofeng, et al.
Publicado: (2024)
por: Zhang, Xiaofeng, et al.
Publicado: (2024)
Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset
por: Wang, Zirui, et al.
Publicado: (2025)
por: Wang, Zirui, et al.
Publicado: (2025)
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
por: Tang, Feilong, et al.
Publicado: (2025)
por: Tang, Feilong, et al.
Publicado: (2025)
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
por: Lan, Mengcheng, et al.
Publicado: (2024)
por: Lan, Mengcheng, et al.
Publicado: (2024)
Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment
por: Hernández-Cámara, Pablo, et al.
Publicado: (2025)
por: Hernández-Cámara, Pablo, et al.
Publicado: (2025)
How Well Can Vision Language Models See Image Details?
por: Gou, Chenhui, et al.
Publicado: (2024)
por: Gou, Chenhui, et al.
Publicado: (2024)
See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis
por: Jin, Ruinan, et al.
Publicado: (2025)
por: Jin, Ruinan, et al.
Publicado: (2025)
Lookalike3D: Seeing Double in 3D
por: Yeshwanth, Chandan, et al.
Publicado: (2026)
por: Yeshwanth, Chandan, et al.
Publicado: (2026)
ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models
por: Kim, Youngeun, et al.
Publicado: (2025)
por: Kim, Youngeun, et al.
Publicado: (2025)
Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation
por: Galshetwar, Vijay M., et al.
Publicado: (2025)
por: Galshetwar, Vijay M., et al.
Publicado: (2025)
ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration
por: Zhang, Xu, et al.
Publicado: (2026)
por: Zhang, Xu, et al.
Publicado: (2026)
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection
por: Ding, Bonan, et al.
Publicado: (2024)
por: Ding, Bonan, et al.
Publicado: (2024)
Seeing A 3D World in A Grain of Sand
por: Zhang, Yufan, et al.
Publicado: (2025)
por: Zhang, Yufan, et al.
Publicado: (2025)
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
por: Wang, Tao, et al.
Publicado: (2023)
por: Wang, Tao, et al.
Publicado: (2023)
Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers
por: Shinnick, Zachary, et al.
Publicado: (2025)
por: Shinnick, Zachary, et al.
Publicado: (2025)
Seeing Clearly and Deeply: An RGBD Imaging Approach with a Bio-inspired Monocentric Design
por: Yu, Zongxi, et al.
Publicado: (2025)
por: Yu, Zongxi, et al.
Publicado: (2025)
Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection
por: Lin, Kaiqing, et al.
Publicado: (2025)
por: Lin, Kaiqing, et al.
Publicado: (2025)
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
por: Xu, Jiaqi, et al.
Publicado: (2024)
por: Xu, Jiaqi, et al.
Publicado: (2024)
Vision-Language Models Can't See the Obvious
por: Dahou, Yasser, et al.
Publicado: (2025)
por: Dahou, Yasser, et al.
Publicado: (2025)
ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring
por: Lin, Xiaopeng, et al.
Publicado: (2025)
por: Lin, Xiaopeng, et al.
Publicado: (2025)
Evaluation of Visual Place Recognition Methods for Image Pair Retrieval in 3D Vision and Robotics
por: Haitz, Dennis, et al.
Publicado: (2026)
por: Haitz, Dennis, et al.
Publicado: (2026)
See&Say: Vision Language Guided Safe Zone Detection for Autonomous Package Delivery Drones
por: Ghazanfari, Mahyar, et al.
Publicado: (2026)
por: Ghazanfari, Mahyar, et al.
Publicado: (2026)
Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models
por: Khan, Mohammed Safi Ur Rahman, et al.
Publicado: (2026)
por: Khan, Mohammed Safi Ur Rahman, et al.
Publicado: (2026)
LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents
por: Zhao, Tianhao, et al.
Publicado: (2026)
por: Zhao, Tianhao, et al.
Publicado: (2026)
LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight
por: Man, Yunze, et al.
Publicado: (2025)
por: Man, Yunze, et al.
Publicado: (2025)
Ejemplares similares
-
Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness
por: Hu, Xin, et al.
Publicado: (2026) -
See Further When Clear: Curriculum Consistency Model
por: Liu, Yunpeng, et al.
Publicado: (2024) -
Centroid-centered Modeling for Efficient Vision Transformer Pre-training
por: Yan, Xin, et al.
Publicado: (2023) -
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
por: Liu, Yexin, et al.
Publicado: (2024) -
Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesis
por: Chen, Hongyuan, et al.
Publicado: (2026)