SOTAVerified

Scene Parsing

Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Description

Papers

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Showing 101–150 of 199 papers

TitleStatusHype
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach—0
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024—0
Single-View 3D Scene Parsing by Attributed Grammar—0
Soft Correspondences in Multimodal Scene Parsing—0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images—0
Spatially Constrained Location Prior for Scene Parsing—0
SPGNet: Semantic Prediction Guidance for Scene Parsing—0
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing—0
Hardware implementation of timely reliable Bayesian decision-making using memristors—0
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing—0
Variational Context-Deformable ConvNets for Indoor Scene Parsing—0
Video Scene Parsing with Predictive Feature Learning—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild—0
Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving—0
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning—0
What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN—0
3D Scene Parsing via Class-Wise Adaptation—0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects—0
Active Scene Understanding via Online Semantic Reconstruction—0
Adaptive Context Network for Scene Parsing—0
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps—0
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos—0
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
An Evolution of CNN Object Classifiers on Low-Resolution Images—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
Automatic Quantification of Settlement Damage using Deep Learning of Satellite Images—0
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation—0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
CACFNet: Cross-Modal Attention Cascaded Fusion Network for RGB-T Urban Scene Parsing—0
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing—0
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks—0
Consensus Feature Network for Scene Parsing—0
Context Driven Scene Parsing with Attention to Rare Classes—0
Context-Integrated and Feature-Refined Network for Lightweight Object Parsing—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing—0
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Deep Deconvolutional Networks for Scene Parsing—0
Deep Hierarchical Parsing for Semantic Segmentation—0
Deep Multiphase Level Set for Scene Parsing—0
Deep Semantics-Aware Photo Adjustment—0
Deep Structured Scene Parsing by Learning with Image Descriptions—0
DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization—0
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All datasetsPGDP5KCityscapes test

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PGDPNetTotal Accuracy84.7—Unverified
2Inter-GPSTotal Accuracy27.3—Unverified
#ModelMetricClaimedVerifiedStatus
1VCD No CoarsemIoU82.3—Unverified