Papers with Code 아카이브

Semantic Segmentation

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/c0ldstudy/pointsecguard

공식 코드

On Adversarial Robustness of Point Cloud Semantic Segmentation

https://github.com/ca-joe-yang/discard-in-subsampling

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Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time

https://github.com/ca-tt-ac/key-patch-proposer

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Key Patch Proposer: Key Patches Contain Rich Information

https://github.com/caddyless/ailurus

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AiluRus: A Scalable ViT Framework for Dense Prediction

https://github.com/caganselim/tltm

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Two-Level Temporal Relation Model for Online Video Instance Segmentation

https://github.com/cai4cai/ace-dliris

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Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

https://github.com/caipengzhou/brau-netplusplus

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BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

https://github.com/cakeyan/ccvit_public

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Centroid-centered Modeling for Efficient Vision Transformer Pre-training

https://github.com/calmevtime/DCTNet

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Learning in the Frequency Domain

https://github.com/calmevtime1990/supp

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Learning in the Frequency Domain

https://github.com/camera-mri/spark2024

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Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset

https://github.com/camilo-espinosa/volcano-seismic-segmentation

공식 코드

A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation Models

https://github.com/camma-public/endoscapes

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The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

https://github.com/camma-public/selfsupsurg

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Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

https://github.com/cao-cong/ads-semiseg

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Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation

https://github.com/caodinhduc/x-pdnet-official

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X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction

https://github.com/caoluyang0830/cvbm

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Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation

https://github.com/caopulan/Mask2Former-LT

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Frequency-based Matcher for Long-tailed Semantic Segmentation

https://github.com/caoql98/frinet

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Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation

https://github.com/caoql98/ovrs

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Open-Vocabulary Remote Sensing Image Semantic Segmentation

https://github.com/cardwing/Codes-for-IntRA-KD

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Inter-Region Affinity Distillation for Road Marking Segmentation

https://github.com/carlosh93/ColorMAE

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ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders

https://github.com/carrenD/ummkd

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Unpaired Multi-modal Segmentation via Knowledge Distillation

https://github.com/carrierlxk/AGNN

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Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

https://github.com/carrierlxk/COSNet

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See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks

https://github.com/carrierlxk/GraphMemVOS

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Video Object Segmentation with Episodic Graph Memory Networks

https://github.com/carrierlxk/MuG

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Learning Video Object Segmentation from Unlabeled Videos

https://github.com/casia-iva-lab/fastsam

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Fast Segment Anything

https://github.com/casiatao/unip

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UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation

https://github.com/castorini/daam

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What the DAAM: Interpreting Stable Diffusion Using Cross Attention

https://github.com/catalinatan/spars

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SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours

https://github.com/ccarliu/m3ae

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M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

https://github.com/cccccczh404/h-sam

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Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding

https://github.com/cchen-cc/Robust-Mseg

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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

https://github.com/cchen-cc/SIFA

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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

https://github.com/cchen-cc/ma-sam

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MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation

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