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Semantic Segmentation

Papers

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Showing 6751–6800 of 14763 papers

TitleStatusHype
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses—0
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation—0
Distilling Inter-Class Distance for Semantic Segmentation—0
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data—0
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures—0
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models—0
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation—0
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation—0
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition—0
Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation—0
Distilling effective supervision for robust medical image segmentation with noisy labels—0
An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers—0
Distance transform regression for spatially-aware deep semantic segmentation—0
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis—0
An Efficient Algorithm for the Piecewise-Smooth Model with Approximately Explicit Solutions—0
Distance Map Loss Penalty Term for Semantic Segmentation—0
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery—0
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation—0
Displets: Resolving Stereo Ambiguities Using Object Knowledge—0
Disparity Image Segmentation For ADAS—0
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines—0
An Efficient 3D CNN for Action/Object Segmentation in Video—0
Adaptive Intermediate Representations for Video Understanding—0
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation—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
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method—0
Disentangling Structure and Appearance in ViT Feature Space—0
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension—0
Disentangling CLIP for Multi-Object Perception—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
Disentangled Latent Transformer for Interpretable Monocular Height Estimation—0
Task-Assisted Domain Adaptation with Anchor Tasks—0
Discwise Active Learning for LiDAR Semantic Segmentation—0
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning—0
Discriminative Re-ranking of Diverse Segmentations—0
AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation—0
Adaptive Generalization for Semantic Segmentation—0
3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation—0
Discriminative out-of-distribution detection for semantic segmentation—0
Discriminative Online Learning for Fast Video Object Segmentation—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
Boosting Semantic Segmentation via Feature Enhancement—0
Discriminatively Trained Sparse Code Gradients for Contour Detection—0
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut—0
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes—0
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot—0
Towards annotation-efficient segmentation via image-to-image translation—0
Discrete Signal Processing with Set Functions—0
Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation—0
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified