SOTAVerified

Video Segmentation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 388 papers

TitleStatusHype
Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning—0
VideoClick: Video Object Segmentation with a Single Click—0
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos—0
VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos—0
Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies—0
Video Instance Segmentation Tracking With a Modified VAE Architecture—0
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions—0
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track—0
Video Object Segmentation Without Temporal Information—0
Video Propagation Networks—0
VideoSAM: Open-World Video Segmentation—0
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network—0
Video Segmentation via Diffusion Bases—0
Video Segmentation via Multiple Granularity Analysis—0
Video Segmentation via Object Flow—0
Video Segmentation With Just a Few Strokes—0
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation—0
Visual Representation Learning with Stochastic Frame Prediction—0
Visual Subtitle Feature Enhanced Video Outline Generation—0
Visual-Textual Capsule Routing for Text-Based Video Segmentation—0
VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation—0
Weakly Supervised Multiclass Video Segmentation—0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset—0
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark—0
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
Sequential image processing methods for improving semantic video segmentation algorithms—0
An Analysis of Data Transformation Effects on Segment Anything 2—0
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition—0
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation—0
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation—0
A Comprehensive Review of Modern Object Segmentation Approaches—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Actor and Action Modular Network for Text-based Video Segmentation—0
A Fast Two Pass Multi-Value Segmentation Algorithm based on Connected Component Analysis—0
A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages—0
An end-to-end generative framework for video segmentation and recognition—0
Appearance-Based Refinement for Object-Centric Motion Segmentation—0
Approximate Policy Iteration for Budgeted Semantic Video Segmentation—0
Approximating DTW with a convolutional neural network on EEG data—0
Architecture Search of Dynamic Cells for Semantic Video Segmentation—0
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
Automatic Dance Video Segmentation for Understanding Choreography—0
Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium—0
Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection—0
Automatic Real-time Background Cut for Portrait Videos—0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation—0
Automatic video scene segmentation based on spatial-temporal clues and rhythm—0
Show:102550
← PrevPage 5 of 8Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86—Unverified