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Semantic Segmentation

5173 papers with code • 125 benchmarks • 311 datasets

Semantic Segmentation is a computer vision task in which the goal is to categorize each pixel in an image into a class or object. The goal is to produce a dense pixel-wise segmentation map of an image, where each pixel is assigned to a specific class or object. Some example benchmarks for this task are Cityscapes, PASCAL VOC and ADE20K. Models are usually evaluated with the Mean Intersection-Over-Union (Mean IoU) and Pixel Accuracy metrics.

( Image credit: CSAILVision )

Libraries

Use these libraries to find Semantic Segmentation models and implementations
PaddlePaddle/PaddleSeg
53 papers
8,228
rwightman/pytorch-image-models
33 papers
29,680
osmr/imgclsmob
30 papers
2,918
open-mmlab/mmsegmentation
19 papers
7,374
See all 39 libraries.

Datasets

Subtasks

Latest papers with no code

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The revenge of BiSeNet: Efficient Multi-Task Image Segmentation

no code yet • 15 Apr 2024

Recent advancements in image segmentation have focused on enhancing the efficiency of the models to meet the demands of real-time applications, especially on edge devices.

 
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Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation

no code yet • 15 Apr 2024

Therefore, we propose Q2A, a novel one-step query-based aligning paradigm, to solve the feature misalignment problem in the INR-based decoder.

 
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Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL

no code yet • 15 Apr 2024

We evaluate our tracker on several high-fidelity environments with challenging situations, such as distraction and occlusion.

 
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Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation

no code yet • 14 Apr 2024

Remote sensing semantic segmentation (RSS) is an essential task in Earth Observation missions.

 
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Improving Referring Image Segmentation using Vision-Aware Text Features

no code yet • 12 Apr 2024

Our method involves using CLIP to derive a CLIP Prior that integrates an object-centric visual heatmap with text description, which can be used as the initial query in DETR-based architecture for the segmentation task.

 
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Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning

no code yet • 12 Apr 2024

This study explores object detection in historical aerial photographs of Namibia to identify long-term environmental changes.

 
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Benchmarking the Cell Image Segmentation Models Robustness under the Microscope Optical Aberrations

no code yet • 12 Apr 2024

Overall, this research aims to guide researchers in effectively utilizing cell segmentation models in the presence of minor optical aberrations.

 
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Adapting the Segment Anything Model During Usage in Novel Situations

no code yet • 12 Apr 2024

The interactive segmentation task consists in the creation of object segmentation masks based on user interactions.

 
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Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering

no code yet • 12 Apr 2024

We identified the structural constraints and the use of large and strict rigid clusters as the main pitfall of the current approaches and we propose a novel clustering approach that allows for combination of overlapping soft clusters as well as non-overlapping rigid clusters representation.

 
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AdaContour: Adaptive Contour Descriptor with Hierarchical Representation

no code yet • 12 Apr 2024

Existing angle-based contour descriptors suffer from lossy representation for non-starconvex shapes.

 
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