Papers Scene Segmentation
“Scene Segmentation” 태그가 달린 논문 322편 · 필터 해제
SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy
Surgical automation is being increasingly studied, yet bridging visual scene understanding with autonomous action planning remains a fundamental challenge. While much research effort has been made on scene perception (e.…
Scene UnderstandingScene SegmentationGeoSAM-3D: Geodesic Prompt Propagation for Open-Vocabulary 3D Scene Segmentation from Monocular Video
Open-vocabulary 3D scene segmentation usually assumes RGB-D video, calibrated multi-view imagery, or a reconstructed mesh. GeoSAM-3D studies a lighter setting: a user uploads a short monocular video, clicks or names an o…
Scene SegmentationMPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation
The multimodal fusion of images and scene captions has been extensively explored and applied in various fields. However, when dealing with complex remote sensing (RS) scenes, existing studies have predominantly concentra…
Semantic SegmentationScene SegmentationQwen3.5-Omni Technical Report
In this work, we present Qwen3.5-Omni, the latest advancement in the Qwen-Omni model family. Representing a significant evolution over its predecessor, Qwen3.5-Omni scales to hundreds of billions of parameters and suppor…
Scene SegmentationVisual GroundingSpeech SynthesisTreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding
3D Gaussian Splatting (3DGS) has emerged as a real-time, differentiable representation for neural scene understanding. However, existing 3DGS-based methods struggle to represent hierarchical 3D semantic structures and ca…
Contrastive LearningScene UnderstandingScene SegmentationV-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Models
Video large language models (VideoLLMs) show strong capability in video understanding, yet long-context inference is still dominated by massive redundant visual tokens in the prefill stage. We revisit token compression f…
Scene SegmentationSCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
Accurate segmentation of tissues and instruments in surgical scenes is annotation-intensive due to irregular shapes, thin structures, specularities, and frequent occlusions. While SAM models support point, box, and mask …
Scene SegmentationDesertFormer: Transformer-Based Semantic Segmentation for Off-Road Desert Terrain Classification in Autonomous Navigation Systems
Reliable terrain perception is a fundamental requirement for autonomous navigation in unstructured, off-road environments. Desert landscapes present unique challenges due to low chromatic contrast between terrain categor…
Semantic SegmentationAutonomous VehiclesScene SegmentationSurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding
Surgical scene Multi-Task Federated Learning (MTFL) is essential for robot-assisted minimally invasive surgery (RAS) but remains underexplored in surgical video understanding due to two key challenges: (1) Tissue Diversi…
Federated LearningScene SegmentationDepth EstimationSLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition
We present SLNet, a lightweight backbone for 3D point cloud recognition designed to achieve strong performance without the computational cost of many recent attention, graph, and deep MLP based models. The model is built…
Scene SegmentationVDCook:DIY video data cook your MLLMs
We introduce VDCook: a self-evolving video data operating system, a configurable video data construction platform for researchers and vertical domain teams. Users initiate data requests via natural language queries and a…
Natural Language QueriesScene SegmentationVideo RetrievalOpen-Vocabulary Domain Generalization in Urban-Scene Segmentation
Domain Generalization in Semantic Segmentation (DG-SS) aims to enable segmentation models to perform robustly in unseen environments. However, conventional DG-SS methods are restricted to a fixed set of known categories,…
Domain GeneralizationSemantic SegmentationScene SegmentationAutonomous DrivingAutomatic Funny Scene Extraction from Long-form Cinematic Videos
Automatically extracting engaging and high-quality humorous scenes from cinematic titles is pivotal for creating captivating video previews and snackable content, boosting user engagement on streaming platforms. Long-for…
Scene SegmentationPrivacy-Concealing Cooperative Perception for BEV Scene Segmentation
Cooperative perception systems for autonomous driving aim to overcome the limited perception range of a single vehicle by communicating with adjacent agents to share sensing information. While this improves perception pe…
Semantic SegmentationImage ReconstructionScene SegmentationAutonomous DrivingSeeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation
Robust semantic segmentation of road scenes under adverse illumination, lighting, and shadow conditions remain a core challenge for autonomous driving applications. RGB-Thermal fusion is a standard approach, yet existing…
Semantic SegmentationScene SegmentationAutonomous DrivingGaussianTrimmer: Online Trimming Boundaries for 3DGS Segmentation
With the widespread application of 3D Gaussians in 3D scene representation, 3D scene segmentation methods based on 3D Gaussians have also gradually emerged. However, existing 3D Gaussian segmentation methods basically se…
Scene SegmentationScene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models
Segmenting long-form videos into semantically coherent scenes is a fundamental task in large-scale video understanding. Existing encoder-based methods are limited by visual-centric biases, classify each shot in isolation…
Multimodal ReasoningScene SegmentationToward Real-Time Surgical Scene Segmentation via a Spike-Driven Video Transformer with Spike-Informed Pretraining
Modern surgical systems increasingly rely on intelligent scene understanding to improve intra-operative safety and situational awareness, with surgical scene segmentation playing a fundamental role in fine-grained surgic…
Knowledge DistillationScene UnderstandingScene SegmentationTiny-YOLOSAM: Fast Hybrid Image Segmentation
The Segment Anything Model (SAM) enables promptable, high-quality segmentation but is often too computationally expensive for latency-critical settings. TinySAM is a lightweight, distilled SAM variant that preserves stro…
Scene SegmentationImage SegmentationUnified Semantic Transformer for 3D Scene Understanding
Holistic 3D scene understanding involves capturing and parsing unstructured 3D environments. Due to the inherent complexity of the real world, existing models have predominantly been developed and limited to be task-spec…
Scene UnderstandingScene Segmentation