Semantic Segmentation Techniques ML Frameworks
Research frameworks and methods for semantic segmentation using weak supervision, zero-shot learning, prototype-based approaches, and unsupervised feature learning. Does NOT include instance segmentation, panoptic segmentation, general video processing, or foreground/background separation as primary focus.
There are 78 semantic segmentation techniques frameworks tracked. 1 score above 70 (verified tier). The highest-rated is deepinv/deepinv at 73/100 with 674 stars. 1 of the top 10 are actively maintained.
Get all 78 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
deepinv/deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using... |
|
Verified |
| 2 |
yjxiong/tsn-pytorch
Temporal Segment Networks (TSN) in PyTorch |
|
Emerging |
| 3 |
mhamilton723/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences |
|
Emerging |
| 4 |
fidler-lab/polyrnn-pp
Inference Code for Polygon-RNN++ (CVPR 2018) |
|
Emerging |
| 5 |
oeway/pytorch-deform-conv
PyTorch implementation of Deformable Convolution |
|
Emerging |
| 6 |
VSainteuf/utae-paps
PyTorch implementation of U-TAE and PaPs for satellite image time series... |
|
Emerging |
| 7 |
pyxu-org/pyxu
Modular and scalable computational imaging in Python with GPU/out-of-core computing. |
|
Emerging |
| 8 |
xvjiarui/GCNet
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond |
|
Emerging |
| 9 |
philferriere/tfwss
Weakly Supervised Segmentation with Tensorflow. Implements instance... |
|
Emerging |
| 10 |
nqanh/affordance-net
AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018 |
|
Emerging |
| 11 |
NVlabs/pacnet
Pixel-Adaptive Convolutional Neural Networks (CVPR '19) |
|
Emerging |
| 12 |
twke18/SPML
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning |
|
Emerging |
| 13 |
cheerss/CrossFormer
The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI |
|
Emerging |
| 14 |
Haochen-Wang409/U2PL
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable... |
|
Emerging |
| 15 |
kqwang/phase-recovery
Resources for phase recovery (also called phase imaging, phase retrieval, or... |
|
Emerging |
| 16 |
mmontielpz/jetseg
NeurIPS 2023 |
|
Emerging |
| 17 |
wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR... |
|
Emerging |
| 18 |
YichuXu/DSFormer
[Neural Networks 2025] Dual Selective Fusion Transformer Network for... |
|
Emerging |
| 19 |
developer0hye/PyTorch-Deformable-Convolution-v2
Don't feel pain to use Deformable Convolution |
|
Emerging |
| 20 |
hfslyc/AdvSemiSeg
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018 |
|
Emerging |
| 21 |
raoyongming/GFNet
[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification |
|
Emerging |
| 22 |
kevin-ssy/FishNet
Implementation code of the paper: FishNet: A Versatile Backbone for Image,... |
|
Emerging |
| 23 |
ControlNet/MARLIN
[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg |
|
Emerging |
| 24 |
fidler-lab/polyrnn-pp-pytorch
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018) |
|
Emerging |
| 25 |
je-santos/ms_net
The MultiScale Network for hierarchical regression (MS-Net) performs 3D... |
|
Emerging |
| 26 |
Kangningthu/ADELE
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations... |
|
Emerging |
| 27 |
ouyangbaicai/MSI-DTrans
Official PyTorch implementation of “MSI-DTrans: a multi-focus image fusion... |
|
Emerging |
| 28 |
kqwang/computational-imaging
Resources for computational imaging |
|
Emerging |
| 29 |
matciotola/Z-PNN
Pansharpening by convolutional neural networks in the full resolution framework |
|
Emerging |
| 30 |
yc-cui/Deep-Learning-Spatiotemporal-Fusion-Survey
[Information Fusion 2026] A collection of deep learning models for remote... |
|
Emerging |
| 31 |
nv-tlabs/STEAL
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019) |
|
Emerging |
| 32 |
TonyLianLong/CrossMAE
Official Implementation of the CrossMAE paper: Rethinking Patch Dependence... |
|
Emerging |
| 33 |
SegDAC/SegDAC
Official repository of SegDAC: Improving Visual Reinforcement Learning by... |
|
Emerging |
| 34 |
AmirMansurian/AICSD
Adaptive Inter-Class Similarity Distillation for Semantic Segmentation (MTAP 2025) |
|
Emerging |
| 35 |
zgr6010/HSI_SSFTT
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization... |
|
Experimental |
| 36 |
daniel-scholz/mm-dinov2
Code for MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image... |
|
Experimental |
| 37 |
Laknath1996/DeepPhaseUnwrap
This repository Introduces a joint convolutional and spatial... |
|
Experimental |
| 38 |
ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing
A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our... |
|
Experimental |
| 39 |
hynnsk/HP
This is the official pytorch implementation of "Leveraging Hidden Positives... |
|
Experimental |
| 40 |
HSG-AIML/SSLTransformerRS
Code repository for "Self-supervised Vision Transformers for Land-cover... |
|
Experimental |
| 41 |
jakhac/CSMAE
Cross-Sensor Masked Autoencoder for Content Based Image Retrieval in Remote Sensing |
|
Experimental |
| 42 |
dronefreak/JetNemotron-Extension
Hybrid CNN + JetBlock vision models in PyTorch for segmentation, depth... |
|
Experimental |
| 43 |
twke18/HSG
Unsupervised Hierarchical Semantic Segmentation with Multiview... |
|
Experimental |
| 44 |
Ni-Chen/3D-MB-HoloNet
Code of "Model-based holographic network for 3D particle imaging", IEEE... |
|
Experimental |
| 45 |
yc-cui/PEMAE
[TGRS 2024] PEMAE: Pixel-Wise Ensembled Masked Autoencoder for Multispectral... |
|
Experimental |
| 46 |
tonysy/Deep-Feature-Flow-Segmentation
Deep Feature Flow for Video Semantic Segmentation |
|
Experimental |
| 47 |
lok-18/A2RNet
AAAI 2025 | A2RNet: Adversarial Attack Resilient Network for Robust Infrared... |
|
Experimental |
| 48 |
DegangWang97/IEEE_JSTARS_NL2Net
[JSTARS 2025 ESI Highly Cited Paper (TOP 1%)] Non-Local and Local... |
|
Experimental |
| 49 |
shjo-april/RecurSeed_and_EdgePredictMix
[Under Review] RecurSeed and EdgePredictMix: Single-stage learning is... |
|
Experimental |
| 50 |
micahcarroll/uniMASK
Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems" |
|
Experimental |
| 51 |
chen742/PiPa
Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised... |
|
Experimental |
| 52 |
pashtari/deconver
Official PyTorch Implementation of "Deconver: A Deconvolutional Network for... |
|
Experimental |
| 53 |
AmirMansurian/AttnFD
[WACV'26] Attention as Geometric Transformation: Revisiting Feature... |
|
Experimental |
| 54 |
Genie-Kim/PintheMemory
Pin the Memory (CVPR 2022): Official Project Webpage |
|
Experimental |
| 55 |
reyjosephnieto/ph
Computational Stability of Cubical Homology: Orthogonal Controls for Fault... |
|
Experimental |
| 56 |
threedle/GeoCode
GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to... |
|
Experimental |
| 57 |
alpinedev51/Hyperspectral-Deep-Deconvolution
Project on using deep models for deconvolution of hyperspectral images with... |
|
Experimental |
| 58 |
mrk1992/robust_matching_network_on_remote_sensing_imagery_pytorch
A Robust Matching Network for Gradually Estimating Geometric Transformation... |
|
Experimental |
| 59 |
kqwang/DLPR
Example code for data-driven and physics-driven deep learning phase recovery |
|
Experimental |
| 60 |
DegangWang97/IEEE_GRSL_PUNNet
[GRSL 2024] Global Feature-Injected Blind-Spot Network for Hyperspectral... |
|
Experimental |
| 61 |
yasserben/CLOUDS
[CVPR 2024] Official Implementation of Collaborating Foundation models for... |
|
Experimental |
| 62 |
Talegqz/unsupervised_co_part_segmentation
[ICML2021] Unsupervised Co-part Segmentation through Assembly |
|
Experimental |
| 63 |
conradry/pixpro-with-weights
Pixel Propagation for unsupervised visual representation learning |
|
Experimental |
| 64 |
enter-i-username/MSNet
[TGRS 2024] MSNet: Self-Supervised Multiscale Network with Enhanced... |
|
Experimental |
| 65 |
DotWang/DCN-T
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with... |
|
Experimental |
| 66 |
naver/unic
PyTorch code and pretrained weights for the UNIC models. |
|
Experimental |
| 67 |
Sense-X/UniNet
Unified Architecture Search with Convolution, Transformer, and MLP (ECCV 2022) |
|
Experimental |
| 68 |
vladan-stojnic/CMC-RSSR
This repository contains the code and models from the paper ... |
|
Experimental |
| 69 |
chaofanma/AttrSeg
[NeurIPS 2023] "AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute... |
|
Experimental |
| 70 |
antoinehabis/Deep-ContourFlow
Unsupervised, one-shot, instance-based active contour/snake using deep... |
|
Experimental |
| 71 |
licongguan/ILM-ASSL
Iterative Loop Method Combining Active and Semi-Supervised Learning for... |
|
Experimental |
| 72 |
laprf/SMN
Code for Spectrum-driven Mixed-frequency Network for Hyperspectral Salient... |
|
Experimental |
| 73 |
HSG-AIML/GDA
Code repository for "Parameter Efficient Self-supervised Geospatial Domain... |
|
Experimental |
| 74 |
OlegnaPT90/HiHolo
⚡ Streamline high-resolution X-ray phase contrast imaging with HiHolo's... |
|
Experimental |
| 75 |
ruohaoguo/UniTR
Official Implementation of "UniTR: A Unified TRansformer-based Framework for... |
|
Experimental |
| 76 |
DanieleMorotti/Blind-Image-Separation
This project has been developed as part of 'Deep Learning' course at the... |
|
Experimental |
| 77 |
apicis/aff-seg
Official repository of the paper "Segmenting Object Affordances:... |
|
Experimental |
| 78 |
measterpojo/Cross-Pseudo-Supervision-CPS-semi-supervised-segmentation
Cross Pseudo Supervision (CPS) is a semi-supervised learning technique... |
|
Experimental |