https://github.com/sosppxo/rg-san
공식 코드RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation
Papers with Code 아카이브
Referring Expression Segmentation
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- 보존된 평가 기록
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The task aims at labeling the pixels of an image or video that represent an object instance referred by a linguistic expression. In particular, the referring expression (RE) must allow the identification of an individual object in a discourse or scene (the referent). REs unambiguously identify the target instance.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/spyflying/CMPC-Refseg
공식 코드Referring Image Segmentation via Cross-Modal Progressive Comprehension
https://github.com/timojl/clipseg
공식 코드https://github.com/ubc-vision/RefTR
공식 코드Referring Transformer: A One-step Approach to Multi-task Visual Grounding
https://github.com/wangbo-zhao/2022cvpr-mmmmtbvs
공식 코드Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
https://github.com/wenz116/lang2seg
공식 코드Referring Expression Object Segmentation with Caption-Aware Consistency
https://github.com/wjn922/referformer
공식 코드https://github.com/wl-zhao/VPD
공식 코드Unleashing Text-to-Image Diffusion Models for Visual Perception
https://github.com/workforai/UniLSeg
공식 코드Universal Segmentation at Arbitrary Granularity with Language Instruction
https://github.com/wudongming97/onlinerefer
공식 코드OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
https://github.com/wusize/f-lmm
공식 코드https://github.com/yongliu20/UniLSeg
공식 코드Universal Segmentation at Arbitrary Granularity with Language Instruction
https://github.com/yxchng/mask-grounding
공식 코드https://github.com/yz93/lavt-ris
공식 코드LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
https://github.com/zamling/psalm
공식 코드https://github.com/zengyan-97/x-vlm
공식 코드Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/clipseg
https://github.com/AleDella/mdter_eval
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/FaceOnLive/Realtime-Background-Changer-SDK-Android
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
https://github.com/JerryX1110/awesome-rvos
https://github.com/MindSpore-scientific/code-7/tree/main/ImageGPT
https://github.com/arjunakula/neurips2021
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/b-faye/lightmdetr
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/brandon3964/multimodal-task-vector
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/byahn2/clevr_ref
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/casia-iva-lab/fastsam
https://github.com/facebookresearch/multimodal
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/haowang1992/ACGA
https://github.com/henghuiding/grefcoco
https://github.com/huggingface/transformers
https://github.com/imatge-upc/refvos
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
https://github.com/luogen1996/simrec
https://github.com/lwye/CMSA-Net
Cross-Modal Self-Attention Network for Referring Image Segmentation
https://github.com/nero1342/VATEX
https://github.com/open-mmlab/mmsegmentation/tree/main/configs/vpd
Unleashing Text-to-Image Diffusion Models for Visual Perception
https://github.com/openrobotlab/ov_parts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.