computer-visionsamlabelingannotation-toolvideo-segmentationlabeling-toolsegment-anythingsam2segment-anything-2 UpdatedMay 14, 2025 Python FutureUniant/Tailor Star884 Code Issues Pull requests Tailor是一款视频智能裁剪、视频生成和视频优化的视频剪辑工具。目前的目标是通过人工智能技术减少视频剪辑的繁琐操作,让普通...
Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation 提出语义连通性驱动的伪标记(SeCo),在连通性水平上构造伪标签,便于学习结构化、低噪声的语义。 EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM 基于ViT 的 SAM 图像编码器提炼成一个纯粹的基于 CNN 的架构,更...
"Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping." ArXiv (2023). [paper] SAA+:Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Zongwei Du, Liang Gao, Weiming Shen. "Segment Any Anomaly without Training via Hybrid Prompt Regularizati...
2.2. Prompt learning Traditional approaches to training deep learning models often involve either training the model from scratch or pretraining it with unlabeled data followed by fine-tuning with labeled data for specific tasks. In contrast, prompt-based foundation models can automatically adapt to va...
b) Using the Self-Sampling Module to replace the position encoding based prompt encoder to strengthen the relationship between the feature and the prompt. c) Flexible Mask Attention Decoder (FMAD) to enhance boundary information and refine the final gen...
Our proposal’s innovation is within the one-shot technique, which involves using a prompt-text-based segmentation as a training sample (instead of a human-labeled sample), making it an automated process for refining SAM on remote sensing imagery. In this study, we also discuss the implications...
prompt for each pair and then one slip of paper from the ethos, logos, or pathos basket per student. The speed debating pair should decide who is taking the affirmative and the negative before beginning. For each round, students should try to convince each other of their arguments using the...
In the auto-prompt setting, the model is programmed to sample single-point input prompts across a grid overlaying the input image and select the top-quality masks using non-maximal suppression. In the text-based prompt setting, a user can produce zero-shot segmentation of particular parts in ...
Grounded SAM 2 Florence-2 Image Auto-Labeling Demo Florence-2can be used as a auto image annotator by cascading its caption capability with its grounding capability. TaskTask PromptText Input Caption + Phrase Grounding<CAPTION>+<CAPTION_TO_PHRASE_GROUNDING>✘ ...
automatic: By combining BLIP + Grounding DINO + Segment Anything to achieve non-interactive detection + segmentation (no need to specify prompt). python gradio_app.py The gradio_app visualization as follows: 🏷️ Grounded-SAM with RAM or Tag2Text for Automatic Labeling The Recognize Anything...