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Zero-Shot Semantic Segmentation

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하위 태스크: 0
평가표: 4
보존된 평가 기록: 42

코드

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

https://github.com/BIT-DYN/OpenObj

공식 코드

OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained Understanding

https://github.com/ZiqinZhou66/ZegCLIP

공식 코드

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

https://github.com/bcmi/CaGNet-Zero-Shot-Semantic-Segmentation

공식 코드

Context-aware Feature Generation for Zero-shot Semantic Segmentation

https://github.com/bcmi/CaGNetv2-Zero-Shot-Semantic-Segmentation

공식 코드

From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation

https://github.com/blumenstiel/mess

공식 코드

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation

https://github.com/chongzhou96/maskclip

공식 코드

Extract Free Dense Labels from CLIP

https://github.com/clearxu/spt

공식 코드

Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation

https://github.com/conghan0808/deop

공식 코드

Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network

https://github.com/cubeyoung/OTSeg

공식 코드

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

https://github.com/dingjiansw101/zegformer

공식 코드

Decoupling Zero-Shot Semantic Segmentation

https://github.com/explainableml/flair

공식 코드

FLAIR: VLM with Fine-grained Language-informed Image Representations

https://github.com/giuseppepastore10/STRICT

공식 코드

A Closer Look at Self-training for Zero-Label Semantic Segmentation

https://github.com/hvision-nku/cascade-clip

공식 코드

Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation

https://github.com/lexieyang/3d-pointzshots

공식 코드

3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap

https://github.com/liuxinyv/sazs

공식 코드

Delving into Shape-aware Zero-shot Semantic Segmentation

https://github.com/machengcheng2016/Subspace-Prompt-Learning

공식 코드

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models

https://github.com/mendelxu/zsseg.baseline

공식 코드

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

https://github.com/paulcouairon/diffcut

공식 코드

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut

https://github.com/pl23k/icehrnet

공식 코드

An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy

https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet

공식 코드

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/valeoai/ZS3

공식 코드

Zero-Shot Semantic Segmentation

https://github.com/wangf3014/sclip

공식 코드

SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

https://github.com/wysoczanska/clip-diy

공식 코드

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free

https://github.com/2023-MindSpore-1/ms-code-151

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/2023-MindSpore-1/ms-code-189/tree/main/modelarts

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/2023-MindSpore-1/ms-code-195

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/2023-MindSpore-4/Code3/tree/main/efficientnet-b0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/6210612757/facerecognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/BenjiKCF/EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/BobMcDear/pytorch-efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Burf/EfficientNet-Lite-Tensorflow2

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/ChintanThacker/Facial_Expression_EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Cyprien0105/DataScience

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/DableUTeeF/keras-efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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