SOTAVerified

Video Segmentation

Papers

Showing 176200 of 388 papers

TitleStatusHype
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments0
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle0
Motion-inductive Self-supervised Object Discovery in Videos0
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object RelationsCode1
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence RewardCode1
Hierarchical Reinforcement Learning Based Video Semantic Coding for Segmentation0
Efficient Heterogeneous Video Segmentation at the Edge0
Visual Subtitle Feature Enhanced Video Outline Generation0
Adversarial Pixel Restoration as a Pretext Task for Transferable PerturbationsCode1
Personalized PCA: Decoupling Shared and Unique FeaturesCode0
MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology0
Domain Adaptive Video Segmentation via Temporal Pseudo SupervisionCode1
Segmenting Moving Objects via an Object-Centric Layered RepresentationCode1
Towards Robust Video Object Segmentation with Adaptive Object CalibrationCode1
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation0
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation0
An Image Processing Pipeline for Camera Trap Time-Lapse RecordingsCode0
A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages0
Differentiable Soft-Masked AttentionCode1
TubeFormer-DeepLab: Video Mask Transformer0
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion0
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition0
Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationCode1
Modeling Motion with Multi-Modal Features for Text-Based Video SegmentationCode1
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified