Copertina

360-Degree Full-view Image Segmentation by Spherical Convolution compatible with Large-scale Planar Pre-trained Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Jingguo, Yu, Han, Li, Shigang, Li, Jianfeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Estimating Depth of Monocular Panoramic Image with Teacher-Student Model Fusing Equirectangular and Spherical Representations
di: Liu, Jingguo, et al.
Pubblicazione: (2024)

Dual-Projection Fusion for Accurate Upright Panorama Generation in Robotic Vision
di: Shan, Yuhao, et al.
Pubblicazione: (2025)

Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
di: Li, Wenyu, et al.
Pubblicazione: (2025)

Spherical Vision Transformers for Audio-Visual Saliency Prediction in 360-Degree Videos
di: Cokelek, Mert, et al.
Pubblicazione: (2025)

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
di: Wang, Qian, et al.
Pubblicazione: (2024)

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
di: Zheng, Yu, et al.
Pubblicazione: (2023)

FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images
di: Li, Zhuohao, et al.
Pubblicazione: (2025)

IM360: Large-scale Indoor Mapping with 360 Cameras
di: Jung, Dongki, et al.
Pubblicazione: (2025)

Scalable Pre-training of Large Autoregressive Image Models
di: El-Nouby, Alaaeldin, et al.
Pubblicazione: (2024)

Training-free Video Temporal Grounding using Large-scale Pre-trained Models
di: Zheng, Minghang, et al.
Pubblicazione: (2024)

Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation
di: Zhang, Dingwen, et al.
Pubblicazione: (2024)

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
di: Sargent, Kyle, et al.
Pubblicazione: (2023)

UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
di: Wang, Yimu, et al.
Pubblicazione: (2025)

Lightweight Full-Convolutional Siamese Tracker
di: Li, Yunfeng, et al.
Pubblicazione: (2023)

360DVO: Deep Visual Odometry for Monocular 360-Degree Camera
di: Guo, Xiaopeng, et al.
Pubblicazione: (2026)

Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
di: Wang, Zhao, et al.
Pubblicazione: (2023)

PanoDreamer: Consistent Text to 360-Degree Scene Generation
di: Xiong, Zhexiao, et al.
Pubblicazione: (2025)

Autoregressive Image Generation with Vision Full-view Prompt
di: Cai, Miaomiao, et al.
Pubblicazione: (2025)

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation
di: Tadokoro, Ryu, et al.
Pubblicazione: (2024)

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
di: Shui, Zhongyi, et al.
Pubblicazione: (2025)

Large-scale Pre-training for Grounded Video Caption Generation
di: Kazakos, Evangelos, et al.
Pubblicazione: (2025)

Revisiting Continual Semantic Segmentation with Pre-trained Vision Models
di: Zhang, Duzhen, et al.
Pubblicazione: (2025)

GLID: Pre-training a Generalist Encoder-Decoder Vision Model
di: Liu, Jihao, et al.
Pubblicazione: (2024)

Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
di: Deng, Ziye, et al.
Pubblicazione: (2025)

PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
di: Xu, Xinyu, et al.
Pubblicazione: (2024)

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train
di: Jiang, Haojun, et al.
Pubblicazione: (2024)

Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
di: Hu, Jiesi, et al.
Pubblicazione: (2025)

CRF360D: Monocular 360 Depth Estimation via Spherical Fully-Connected CRFs
di: Cao, Zidong, et al.
Pubblicazione: (2024)

EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting
di: Lin, Min-Hui, et al.
Pubblicazione: (2024)

GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task
di: Ding, Ning, et al.
Pubblicazione: (2023)

MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation
di: Tang, Fenghe, et al.
Pubblicazione: (2024)

Reinforcing Pre-trained Models Using Counterfactual Images
di: Li, Xiang, et al.
Pubblicazione: (2024)

Convolutional Feature Noise Reduction for 2D Cardiac MR Image Segmentation
di: Zheng, Hong, et al.
Pubblicazione: (2025)

Industrial Synthetic Segment Pre-training
di: Mae, Shinichi, et al.
Pubblicazione: (2025)

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
di: Liu, Mingxuan, et al.
Pubblicazione: (2023)

SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model
di: Zhang, Zhanjie, et al.
Pubblicazione: (2025)

Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°
di: He, Yuxiao, et al.
Pubblicazione: (2024)

Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views
di: Bao, Chong, et al.
Pubblicazione: (2025)

GazeTarget360: Towards Gaze Target Estimation in 360-Degree for Robot Perception
di: Dai, Zhuangzhuang, et al.
Pubblicazione: (2025)

Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
di: Mahbod, Amirreza, et al.
Pubblicazione: (2024)