https://github.com/Jazzcharles/OVSegmentor
공식 코드Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
Papers with Code 아카이브
Open-Vocabulary Semantic Segmentation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JunweiZheng93/OPS
공식 코드https://github.com/KU-CVLAB/CAT-Seg
공식 코드CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
https://github.com/LiBingyu01/FGA-seg
공식 코드FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
https://github.com/VCG-team/DiffSegmenter
공식 코드Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
https://github.com/anonymouse-9c53tp182bvz/vireo
공식 코드Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
https://github.com/arrowluo/segclip
공식 코드SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
https://github.com/bytedance/fc-clip
공식 코드Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
https://github.com/chaofanma/Fantastic-Beasts-Datasets
공식 코드AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
https://github.com/chaofanma/fusioner
공식 코드Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models
https://github.com/conghan0808/deop
공식 코드Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network
https://github.com/dahyun-kang/lazygrounding
공식 코드In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
https://github.com/dk-liang/uniseg3d
공식 코드https://github.com/dosowiechi/mlmp
공식 코드Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
https://github.com/dvlab-research/tagclip
공식 코드TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation
https://github.com/ethz-asl/autolabel
공식 코드https://github.com/ethz-asl/pvlff
공식 코드https://github.com/facebookresearch/ov-seg
공식 코드Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
https://github.com/hanzy1996/openseg-r
공식 코드OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning
https://github.com/hustvl/maskadapter
공식 코드Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation
https://github.com/hvision-nku/maskclippp
공식 코드MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation
https://github.com/jun-cen/segmentanyrgbd
공식 코드https://github.com/kaist-cvml-lab/part-clipseg
공식 코드Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
https://github.com/kaist-cvml/part-catseg
공식 코드Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
https://github.com/kaist-cvml/part-clipseg
공식 코드Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
https://github.com/leaves162/cliptrase
공식 코드Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation
https://github.com/letitiabanana/pnp-ovss
공식 코드Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
https://github.com/likyoo/SegEarth-OV
공식 코드SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
https://github.com/linsun449/cliper.code
공식 코드https://github.com/m-arda-aydn/itaclip
공식 코드https://github.com/mc-lan/proxyclip
공식 코드ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
https://github.com/mendelxu/san
공식 코드Side Adapter Network for Open-Vocabulary Semantic Segmentation
https://github.com/mendelxu/zsseg.baseline
공식 코드A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
https://github.com/mustafa1728/wlsegnet
공식 코드A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation
https://github.com/openrobotlab/ov_parts
공식 코드https://github.com/ram95d/ovose
공식 코드OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.