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Semantic Segmentation

Papers

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Showing 10651–10700 of 14763 papers

TitleStatusHype
Latent Graph Attention for Enhanced Spatial Context—0
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images—0
Latents of latents to delineate pixels: hybrid Matryoshka autoencoder-to-U-Net pairing for segmenting large medical images in GPU-poor and low-data regimes—0
Latent Space Unsupervised Semantic Segmentation—0
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices—0
Layered Image Vectorization via Semantic Simplification—0
Layered Logic Classifiers: Exploring the `And' and `Or' Relations—0
Layered Scene Decomposition via the Occlusion-CRF—0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenes—0
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs—0
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks—0
LeAP: Consistent multi-domain 3D labeling using Foundation Models—0
Learnable Bernoulli Dropout for Bayesian Deep Learning—0
Learnable Histogram: Statistical Context Features for Deep Neural Networks—0
Learned Gradient Compression for Distributed Deep Learning—0
Learned Image Compression for Machine Perception—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
Learning Active Contour Models for Medical Image Segmentation—0
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss—0
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time—0
Learning Affinity via Spatial Propagation Networks—0
Learning Affinity via Spatial Propagation Network—0
Learning a General Model: Folding Clothing with Topological Dynamics—0
Learning Robust Medical Image Segmentation from Multi-source Annotations—0
Linguistic Query-Guided Mask Generation for Referring Image Segmentation—0
Learning a Loopy Model For Semantic Segmentation Exactly—0
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation—0
Learning a sparse database for patch-based medical image segmentation—0
Learning a unified label space—0
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection—0
Learning-Based Atlas Selection for Multiple-Atlas Segmentation—0
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative—0
Learning-Based Keypoint Registration for Fetoscopic Mosaicking—0
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision—0
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness—0
Learning Camouflaged Object Detection from Noisy Pseudo Label—0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation—0
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation—0
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images—0
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation—0
Learning color space adaptation from synthetic to real images of cirrus clouds—0
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks—0
Learning Common Representation from RGB and Depth Images—0
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation—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