SOTAVerified

Video Segmentation

Papers

Showing 126150 of 388 papers

TitleStatusHype
Efficient Hierarchical Graph-Based Segmentation of RGBD VideosCode0
Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video SegmentationCode0
Biomedical SAM 2: Segment Anything in Biomedical Images and VideosCode0
Video Object Segmentation with Re-identificationCode0
Analyzing Linear Dynamical Systems: From Modeling to Coding and LearningCode0
Box Supervised Video Segmentation Proposal NetworkCode0
Robust Online Video Instance Segmentation with Track QueriesCode0
Borrowing from yourself: Faster future video segmentation with partial channel updateCode0
Rethinking the Evaluation of Video SummariesCode0
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency RelearningCode0
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric RepresentationCode0
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context InferenceCode0
PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTMCode0
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video SegmentationCode0
Object Instance Annotation With Deep Extreme Level Set EvolutionCode0
OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall DetectionCode0
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance FieldsCode0
Adaptive Temporal Encoding Network for Video Instance-level Human ParsingCode0
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-ResolutionCode0
Multiscale Memory Comparator Transformer for Few-Shot Video SegmentationCode0
Hierarchical Graph Pattern Understanding for Zero-Shot VOSCode0
NewsNet: A Novel Dataset for Hierarchical Temporal SegmentationCode0
GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on VideoCode0
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection DataCode0
Object discovery and representation networksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified