https://github.com/tensorflow/models
공식 코드Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Papers with Code 아카이브
2D Semantic Segmentation
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- 17
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- 11
- 보존된 평가 기록
- 42
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tensorflow/models/tree/master/official/projects/mosaic
공식 코드MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context
https://github.com/tensorflow/tpu/tree/641c1ac6e26ed788327b973582cbfa297d7d31e7/models/official/detection/projects/openseg
공식 코드Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
https://github.com/ternaus/TernausNet
공식 코드TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
https://github.com/textdetox/multilingual_explainable_paradetox
공식 코드Multilingual and Explainable Text Detoxification with Parallel Corpora
https://github.com/tfboys-lzz/mpscl
공식 코드https://github.com/tfzhou/MATNet
공식 코드Motion-Attentive Transition for Zero-Shot Video Object Segmentation
https://github.com/tfzhou/vs-survey
공식 코드https://github.com/tgrex6/unetvl
공식 코드UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
https://github.com/thanos-db/fullyconvolutionaltransformer
공식 코드The Fully Convolutional Transformer for Medical Image Segmentation
https://github.com/the-ai-alliance/geo-bench-vlm
공식 코드GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks
https://github.com/theevann/fast-cwm-segmentation
공식 코드Borrowing from yourself: Faster future video segmentation with partial channel update
https://github.com/thetna/medical_image_segmentation
공식 코드https://github.com/thisgame42/hybrid-teacher
공식 코드https://github.com/thomasbudd/ctarr
공식 코드https://github.com/threedworld-mit/tdw
공식 코드ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
https://github.com/thu-coai/NAST
공식 코드NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
https://github.com/thu-lyj-lab/ar-seg
공식 코드Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
https://github.com/thundervvv/rclstr
공식 코드https://github.com/thundervvv/rcmstr
공식 코드Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition
https://github.com/thunlp/pevl
공식 코드PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
https://github.com/thunlp/styleattack
공식 코드Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
https://github.com/thunlp/visualds
공식 코드https://github.com/thusiyuan/cooperative_scene_parsing
공식 코드Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation
https://github.com/tianfu18/diff-feats-pose
공식 코드Object Pose Estimation via the Aggregation of Diffusion Features
https://github.com/tianrun-chen/xLSTM-UNet-PyTorch
공식 코드https://github.com/tiarnaleeKCL/nnUNet-bias-mitigation
공식 코드Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation
https://github.com/tien-d/EgoDepthNormal
공식 코드Egocentric Scene Understanding via Multimodal Spatial Rectifier
https://github.com/tiffany9056/IntelliCardiac
공식 코드IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
https://github.com/tiffany9056/uu-mamba
공식 코드UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
https://github.com/timojl/clipseg
공식 코드https://github.com/timothewt/AdvancedGraphClustering
공식 코드Advanced Graph Clustering Methods: A Comprehensive and In-Depth Analysis
https://github.com/tingliu/glia
공식 코드https://github.com/tinymilky/NeRD
공식 코드NeRD: Neural Representation of Distribution for Medical Image Segmentation
https://github.com/tissueimageanalytics/cerberus
공식 코드https://github.com/tljxyys/perspective-unet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.