Papers Video Object Segmentation
“Video Object Segmentation” 태그가 달린 논문 608편 · 필터 해제
X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation
Multi-modal Video Object Segmentation (VOS), including RGB-Thermal, RGB-Depth, and RGB-Event, has garnered attention due to its capability to address challenging scenarios where traditional VOS methods struggle, such as …
Semantic SegmentationVideo Object SegmentationVideo Semantic SegmentationMemory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation
Memory-based video object segmentation methods model multiple objects over long temporal-spatial spans by establishing memory bank, which achieve the remarkable performance. However, they struggle to overcome the false m…
Semantic SegmentationSemi-Supervised Video Object SegmentationVideo Object SegmentationVideo Semantic SegmentationLSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th Large-scale Video Object Segmentation (L…
ObjectReferring Video Object SegmentationSegmentationSemantic Segmentation+3Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS
Video object segmentation (VOS) is a crucial task in computer vision, but current VOS methods struggle with complex scenes and prolonged object motions. To address these challenges, the MOSE dataset aims to enhance objec…
ObjectObject RecognitionSemantic SegmentationVideo Object Segmentation+1Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation
In this paper, we propose an Audio-Language-Referenced SAM 2 (AL-Ref-SAM 2) pipeline to explore the training-free paradigm for audio and language-referenced video object segmentation, namely AVS and RVOS tasks. The intui…
ObjectSemantic SegmentationSpatial ReasoningVideo Object Segmentation+1CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track
Video object segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this technical report, we briefly introduce the solut…
Autonomous DrivingObjectSegmentationSemantic Segmentation+3The 2nd Solution for LSVOS Challenge RVOS Track: Spatial-temporal Refinement for Consistent Semantic Segmentation
Referring Video Object Segmentation (RVOS) is a challenging task due to its requirement for temporal understanding. Due to the obstacle of computational complexity, many state-of-the-art models are trained on short time …
Referring Video Object SegmentationSegmentationSemantic SegmentationVideo Object Segmentation+1LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS
Video Object Segmentation (VOS) presents several challenges, including object occlusion and fragmentation, the dis-appearance and re-appearance of objects, and tracking specific objects within crowded scenes. In this wor…
Instance SegmentationObjectSegmentationSemantic Segmentation+3The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution
Referring Video Object Segmentation is an emerging multi-modal task that aims to segment objects in the video given a natural language expression. In this work, we build two instance-centric models and fuse predicted res…
Referring Video Object SegmentationRetrievalSemantic SegmentationVideo Object Segmentation+13D-Aware Instance Segmentation and Tracking in Egocentric Videos
Egocentric videos present unique challenges for 3D scene understanding due to rapid camera motion, frequent object occlusions, and limited object visibility. This paper introduces a novel approach to instance segmentatio…
3D Object ReconstructionInstance SegmentationObjectObject Reconstruction+5UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track
Referring video object segmentation (RVOS) relies on natural language expressions to segment target objects in video. In this year, LSVOS Challenge RVOS Track replaced the origin YouTube-RVOS benchmark with MeViS. MeViS …
Referring Video Object SegmentationSemantic SegmentationVideo Object SegmentationVideo Semantic SegmentationVideo Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track
Video Object Segmentation (VOS) task aims to segmenting a particular object instance throughout the entire video sequence given only the object mask of the first frame. Recently, Segment Anything Model 2 (SAM 2) is propo…
ObjectSegmentationSemantic SegmentationVideo Object Segmentation+2Fast Sprite Decomposition from Animated Graphics
This paper presents an approach to decomposing animated graphics into sprites, a set of basic elements or layers. Our approach builds on the optimization of sprite parameters to fit the raster video. For efficiency, we a…
Semantic SegmentationVideo Object SegmentationVideo Semantic SegmentationBiomedical SAM 2: Segment Anything in Biomedical Images and Videos
Medical image segmentation and video object segmentation are essential for diagnosing and analyzing diseases by identifying and measuring biological structures. Recent advances in natural domain have been driven by found…
Image SegmentationMedical Image SegmentationSegmentationSemantic Segmentation+3SAM 2: Segment Anything in Images and Videos
We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user interaction, to collect …
Image SegmentationRobot Manipulation GeneralizationSegmentationSemantic Segmentation+5Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation
In this paper, we introduce a variant of video object segmentation (VOS) that bridges interactive and semi-automatic approaches, termed Lazy Video Object Segmentation (ziVOS). In contrast, to both tasks, which handle vid…
ObjectSegmentationSemantic SegmentationVideo Object Segmentation+1Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video
Weakly supervised video object segmentation (WSVOS) enables the identification of segmentation maps without requiring an extensive training dataset of object masks, relying instead on coarse video labels indicating objec…
DisentanglementKnowledge DistillationObjectobject-detection+6VISA: Reasoning Video Object Segmentation via Large Language Models
Existing Video Object Segmentation (VOS) relies on explicit user instructions, such as categories, masks, or short phrases, restricting their ability to perform complex video segmentation requiring reasoning with world k…
DecoderObjectReasoning SegmentationReasoning Video Object Segmentation+7Improving Unsupervised Video Object Segmentation via Fake Flow Generation
Unsupervised video object segmentation (VOS), also known as video salient object detection, aims to detect the most prominent object in a video at the pixel level. Recently, two-stream approaches that leverage both RGB i…
Objectobject-detectionObject DetectionOptical Flow Estimation+6Learning Spatial-Semantic Features for Robust Video Object Segmentation
Tracking and segmenting multiple similar objects with complex or separate parts in long-term videos is inherently challenging due to the ambiguity of target parts and identity confusion caused by occlusion, background cl…
ObjectSemantic SegmentationVideo Object SegmentationVideo Semantic Segmentation