Cover Image

Investigation of Frame Differences as Motion Cues for Video Object Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kawamura, Sota, Honda, Hirotada, Nakamura, Shugo, Sano, Takashi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
by: Jeon, Wooseok, et al.
Published: (2026)

Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
by: Vu, Tuan-Anh, et al.
Published: (2025)

Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
by: Zhuge, Yunzhi, et al.
Published: (2025)

Frame-Difference Guided Dynamic Region Perception for CLIP Adaptation in Text-Video Retrieval
by: Yu, Jiaao, et al.
Published: (2025)

PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing
by: Munir, Mustafa, et al.
Published: (2025)

On Moving Object Segmentation from Monocular Video with Transformers
by: Homeyer, Christian, et al.
Published: (2024)

Space-time Reinforcement Network for Video Object Segmentation
by: Chen, Yadang, et al.
Published: (2024)

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues
by: Zambare, Pallavi, et al.
Published: (2025)

MOD-CL: Multi-label Object Detection with Constrained Loss
by: Moriyama, Sota, et al.
Published: (2024)

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
by: Li, Yonglin, et al.
Published: (2023)

Mitigating Query Selection Bias in Referring Video Object Segmentation
by: Zhang, Dingwei, et al.
Published: (2025)

Learning Spatial-Semantic Features for Robust Video Object Segmentation
by: Li, Xin, et al.
Published: (2024)

RMem: Restricted Memory Banks Improve Video Object Segmentation
by: Zhou, Junbao, et al.
Published: (2024)

Memory-Efficient Continual Learning Object Segmentation for Long Video
by: Nazemi, Amir, et al.
Published: (2023)

Revisiting the Evaluation Bias Introduced by Frame Sampling Strategies in Surgical Video Segmentation Using SAM2
by: Ozbulak, Utku, et al.
Published: (2025)

FrameMind: Frame-Interleaved Video Reasoning via Reinforcement Learning
by: Ge, Haonan, et al.
Published: (2025)

SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
by: Grigore, Diana-Nicoleta, et al.
Published: (2025)

Advancing Complex Video Object Segmentation via Progressive Concept Construction
by: Zhang, Zhixiong, et al.
Published: (2025)

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
by: Davtyan, Aram, et al.
Published: (2023)

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)

Mining Multi-Modality Spatio-Temporal Cues for Video Important Person Identification
by: Wang, Xiao, et al.
Published: (2026)

Video Finetuning Improves Reasoning Between Frames
by: Yang, Ruiqi, et al.
Published: (2025)

M-LLM Based Video Frame Selection for Efficient Video Understanding
by: Hu, Kai, et al.
Published: (2025)

Shallow Features Matter: Hierarchical Memory with Heterogeneous Interaction for Unsupervised Video Object Segmentation
by: Xiangyu, Zheng, et al.
Published: (2025)

The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics
by: Gao, Xiangbo, et al.
Published: (2026)

LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks
by: Liu, Hui, et al.
Published: (2025)

VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction
by: Ji, Longbin, et al.
Published: (2026)

Detecting AI-Generated Video via Frame Consistency
by: Ma, Long, et al.
Published: (2024)

VFIMamba: Video Frame Interpolation with State Space Models
by: Zhang, Guozhen, et al.
Published: (2024)

DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding
by: Zhang, Peng, et al.
Published: (2026)

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation
by: Zhao, Bingrui, et al.
Published: (2025)

1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation
by: Luo, Zhuoyan, et al.
Published: (2024)

M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
by: Chen, Zixuan, et al.
Published: (2024)

When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation
by: Zhou, Yuli, et al.
Published: (2024)

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
by: Zhang, Haitian, et al.
Published: (2024)

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization
by: Zhang, Zhiwang, et al.
Published: (2025)

On the Reliability of Cue Conflict and Beyond
by: Kim, Pum Jun, et al.
Published: (2026)

MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models
by: Meral, Tuna Han Salih, et al.
Published: (2024)

Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level
by: Deng, Andong, et al.
Published: (2024)

3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation
by: Liu, Xinyu, et al.
Published: (2024)