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Semantic Segmentation

Papers

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Showing 13701–13750 of 14763 papers

TitleStatusHype
ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models—0
EHSNet: End-to-End Holistic Learning Network for Large-Size Remote Sensing Image Semantic Segmentation—0
ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images—0
ELEV-VISION-SAM: Integrated Vision Language and Foundation Model for Automated Estimation of Building Lowest Floor Elevation—0
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection—0
Elite360M: Efficient 360 Multi-task Learning via Bi-projection Fusion and Cross-task Collaboration—0
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation—0
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs—0
Embedded Hyperspectral Band Selection with Adaptive Optimization for Image Semantic Segmentation—0
Embedded Vision for Self-Driving on Forest Roads—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
Embodied Amodal Recognition: Learning to Move to Perceive Objects—0
Embodied Learning for Lifelong Visual Perception—0
Embodied Uncertainty-Aware Object Segmentation—0
Embodied Visual Active Learning for Semantic Segmentation—0
Embodied Visual Recognition—0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging—0
Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation—0
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation—0
EMPIRICAL UPPER BOUND IN OBJECT DETECTION—0
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation—0
Empowering Bridge Digital Twins by Bridging the Data Gap with a Unified Synthesis Framework—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
Vision Transformer Computation and Resilience for Dynamic Inference—0
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design—0
Enabling Visual Recognition at Radio Frequency—0
Encoder-Decoder based CNN and Fully Connected CRFs for Remote Sensed Image Segmentation—0
Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules—0
Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation—0
Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection—0
Endpoints Weight Fusion for Class Incremental Semantic Segmentation—0
End-to-End 3D Point Cloud Instance Segmentation Without Detection—0
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving—0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks—0
End-to-End Deep Convolutional Active Contours for Image Segmentation—0
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving—0
End-to-End Defect Detection in Automated Fiber Placement Based on Artificially Generated Data—0
End-to-End Instance Edge Detection—0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
End-To-End multi-modal sensors fusion system for urban automated driving—0
Multi-task UNet architecture for end-to-end autonomous driving—0
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing—0
End-to-end optimized image compression for multiple machine tasks—0
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—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